JP7523183B2 - Apparatus and method for providing services for blockchain-based personal identity verification - Google Patents

Description

The present invention relates to a service providing device and method for blockchain-based personal identity verification, and more particularly to a service providing device and method for blockchain-based personal identity verification, which stores one or more personal information-related exposed objects among the member information registered by the member in a blockchain in a category designated by the member, and when a request for authenticity verification of the user's personal information-related category stored in the blockchain is generated, notifies the user who uses the blockchain and requests the member's identity verification, thereby providing reliable personal information.

Currently, agencies and businesses that qualify individuals for membership or employment based on profile information provided by individuals rely on this information to determine whether or not an individual is eligible, and therefore must ensure the reliability and completeness of the profile information.

As a result, currently, institutions and businesses collect profile information that individuals voluntarily register in accordance with a prescribed format. This not only causes the inconvenient task of creating profile information every time an individual uses a service provided by an institution or business that requires profile information, but also requires separate verification of any content in the profile information that requires proof of background, making it extremely cumbersome and inconvenient to verify an individual's credentials.

Recently, to solve this problem, services have emerged that allow individuals to register their profile information on a server that shares profile information, and then allow institutions and businesses to use the profile information through that server. However, with these existing services, the operators of the server do not guarantee the integrity and reliability of the profile information registered by individuals, making it difficult to guarantee the reliability of the profile information.

In addition, when profile information is shared through a single server, it is vulnerable to hacking, making it difficult to guarantee the integrity and reliability of the profile information. In addition, the institutions and servers that use the server cannot determine whether the certification of the history that needs to be verified on the server has been properly carried out, which ultimately leads to problems such as institutions and businesses avoiding such existing services and reverting to collecting profile information independently.

The present invention aims to help ensure the reliability and completeness of profile information provided to users who search for members using the blockchain by generating profile information consisting of categories to which attribute values belong for attributes to be exposed selected by the member from among the member information registered by the individual member, and managing logs for corrections and verifications of the profile information through the blockchain, and to help increase the reliability of qualifications using profile information by transmitting a complaint to all users using the blockchain and the member who is the subject of the request for authenticity verification upon receiving a complaint regarding a request for authenticity verification of the profile information, and helping to proactively verify and clarify the profile information.

A service providing device for blockchain-based personal identity verification according to an embodiment of the present invention includes a member management unit that stores member information received from a member terminal of an individual member, a profile generation unit that applies attribute values included in the member information for each attribute to be exposed selected by the member among one or more attributes constituting the member information to a first learning model that is preset in a state in which a correlation between a search category for searching the member and the attribute values is learned, to calculate one or more recommended categories, and then recommends the calculated categories to the member terminal, and generates profile information including a selected category selected by the member terminal among one or more recommended categories for each attribute to be exposed, a blockchain linkage unit that registers the profile information on a blockchain, and a specific category included in the specific profile information through the blockchain linkage unit. The system may include a collision determination unit that monitors whether or not complaint information in response to a request for authenticity verification of a goal is registered on the blockchain, applies the specific category and specific user information of the specific user who registered the complaint information on the blockchain to a second learning model that is preset in a state in which a correlation between user information using the blockchain and a category to be verified at the time of registration of the complaint information is learned, and calculates a correlation coefficient between the specific category and the specific user information as a risk level, and a risk notification unit that extracts member identification information from member information corresponding to the complaint information whose risk level is calculated to be equal to or higher than a preset reference value by the collision determination unit, generates risk notification information including the extracted member identification information and the specific category, and transmits the risk notification information to one or more user terminals using the blockchain.

As an example related to the present invention, the danger notification unit transmits the danger notification information to a member terminal corresponding to the danger notification information, the collision determination unit checks through the blockchain linkage unit whether resolution information for resolving the complaint information corresponding to the danger notification information is registered in the blockchain, generates notification information when the resolution information is registered, and transmits it to the danger notification unit, and the danger notification unit does not transmit the danger notification information corresponding to the resolution information to the user terminal when receiving the notification information.

As an example related to the present invention, the user information learned by the second learning model can be characterized as including details of registration of one or more pieces of complaint information registered by the user in the blockchain and the user's industry.

As an example related to the present invention, the recommendation category may be set by any one of a parameter, a condition, and a range.

As an example related to the present invention, a third learning model in which the correlation between the danger notification information and user information has been learned is preset, and a user analysis unit that, in conjunction with the danger notification unit, determines a danger notification target range based on user information calculated by applying the generated danger notification information to the third learning model when the danger notification information is generated by the danger notification unit and transmits the determined range to the danger notification unit, and the danger notification unit may be characterized in that it selects one or more users who satisfy the danger notification target range from the user information for each user who uses the blockchain, and transmits the danger notification information to the user terminal for each selected user.

As an example related to the present invention, the system may further include a member DB in which member information for each member is stored, and a user DB in which user information for each user is stored.

As an example related to the present invention, the danger notification unit transmits the danger notification information to a member terminal corresponding to the danger notification information through the member management unit, and the member management unit transmits the resolution request information and the danger notification information to the profile generation unit when receiving resolution request information including a certificate image corresponding to the danger notification information, and the profile generation unit applies the certificate image included in the resolution request information to a fourth learning model preset in a state in which a correlation between the certificate image and the certificate type is learned when receiving the resolution request information and the danger notification information to identify the type of certificate corresponding to the resolution request information, transmits authentication request information including the certificate image included in the resolution request information and a specific category according to the danger notification information to a preset external server corresponding to the identified certificate type, and, when receiving authentication information for authentication success corresponding to the authentication request information from the external server, inserts the authentication information into the profile information of the member corresponding to the authentication information and registers it in the blockchain through the blockchain linkage unit.

As an example related to the present invention, the profile generation unit may be characterized in that, when generating profile information into which the authentication information corresponding to the danger notification information is inserted, the profile generation unit identifies a user terminal that has registered the complaint information corresponding to the danger notification information in the blockchain, and then transmits resolution confirmation request information including the danger notification information and the authentication information to the identified user terminal.

As an example related to the present invention, the blockchain may be characterized in that, upon receiving the profile information, a specific node with block generation authority generates a block including the profile information during its block generation period, and then transmits the block to each of a plurality of nodes participating in the blockchain to store the profile information in the blockchain.

A method for providing a service for blockchain-based personal identity verification by a service providing device according to an embodiment of the present invention includes steps of: storing member information received from a member terminal of an individual member; calculating one or more recommended categories by applying attribute values included in the member information for each attribute to be exposed selected by the member among one or more attributes constituting the member information to a first learning model that has been preset in a state where a correlation between a search category for searching the member and the attribute values has been learned, and then recommending the calculated recommended categories to the member terminal; generating profile information including a selected category selected by the member terminal among one or more recommended categories for each attribute to be exposed, and registering the generated profile information in a blockchain; The method may include a step of monitoring whether or not the complaint information in response to the authenticity verification request is registered on the blockchain, applying the specific category and the specific user information of the specific user who registered the complaint information on the blockchain to a second learning model that is preset in a state in which the correlation between the user information using the blockchain and the category to be verified at the time of registration of the complaint information is learned, and calculating the correlation coefficient between the specific category and the specific user information as a risk level, and a step of extracting member identification information from the member information corresponding to the complaint information whose risk level is calculated to be equal to or higher than a preset reference value, generating risk notification information including the extracted member identification information and the specific category, and transmitting the risk notification information to one or more user terminals using the blockchain.

The present invention reduces the burden on members who wish to expose their profiles to institutions or businesses by helping them set their profile information in the category to which the member's personal information belongs and expose it to institutions or businesses. It also ensures the reliability and completeness of the member's profile by managing the member's profile through the blockchain. When a user who searches a member's profile requests a verification of the authenticity of the member's personal information, the user determines the correlation between the user who requested the verification and the personal information-related category of the member that is the subject of the verification, and only if there is a correlation, the information on the member's profile for which verification has been requested is provided to other users who use the blockchain to search the member's profile, helping to avoid members whose qualifications are in doubt, thereby increasing the user's reliability in the member's profile provided to them.

In addition, when a request for authenticity verification of a specific category included in a specific member's profile is received from a specific user who searches for and uses a member's profile through the blockchain, the present invention selects only users who use the specific category included in the specific member's profile for which authenticity verification is requested in the member's qualification review and performs risk notification, thereby transmitting risk notification information only to users who need it, preventing users from being harmed by a member's false profile while minimizing the scope of risk notification targets and reducing the burden of risk notification.

In addition, the present invention has the effect of ensuring the reliability and integrity of the member profile registered on the blockchain by informing the specific member of a complaint that is registered in a category that requires verification of authenticity in the specific member's profile on the user side, and inviting the specific member to explain the complaint. When the complaint is resolved through the certificate registered by the specific member, the user who registered the complaint is induced to register resolution information for the complaint resolution on the blockchain, thereby ensuring the reliability and integrity of the member profile registered on the blockchain.

FIG. 1 is a configuration diagram of a blockchain-based authentication system for verifying an individual's identity in accordance with an embodiment of the present invention.

FIG. 1 is a configuration diagram of a blockchain-based service providing device for personal identity verification according to an embodiment of the present invention.

FIG. 13 is an exemplary diagram of profile information verified by a blockchain-based service providing device for personal identity verification according to an embodiment of the present invention.

1 is a flowchart illustrating a method for providing a blockchain-based service for personal identity verification according to an embodiment of the present invention.

Detailed examples of the present invention are described below with reference to the drawings.

Figure 1 is a configuration diagram of a blockchain-based authentication system (hereinafter, authentication system) for verifying personal identity according to an embodiment of the present invention.

As shown, the authentication system may include a service providing device 100 that communicates with one or more personal terminals through a communication network, and a blockchain 200 that communicates with the service providing device 100 through the communication network.

The authentication system may further include one or more user terminals for each user that connect to the blockchain 200 through the communication network and search for information stored in the blockchain 200.

At this time, the communication network described in the present invention may include a wired/wireless communication network. Examples of such wireless communication networks include a wireless LAN (WLAN), DLNA (Digital Living Network Alliance) (registered trademark), wireless broadband (Wibro), WiMAX (World Interoperability for Microwave Access: Wimax), GSM (Global System for Mobile communication), CDMA (Code Division Multi Access), and CDMA2000 (Code Division Multi Access). 2000), EV-DO (Enhanced Voice-Data Optimized or Enhanced Voice-Data Only), WCDMA (Wideband CDMA) (registered trademark), HSDPA (High Speed Downlink Packet Access), HSUPA (High Speed Uplink Packet Access), IEEE 802.16, Long Term Evolution (LTE), LTE-A (Long Term Evolution-Advanced), Wireless Mobile Communications Service (Wireless Mobile Broadband Service (WMBS), 5G mobile communication service, Bluetooth (registered trademark), LoRa (Long Range), RFID (Radio Frequency Identification), Infrared Data Association (IrDA), UWB (Ultra Wideband), ZigBee, Near Field Communication (NFC), Ultrasound Communication (USC), Visible Light Communication (VLC), Wi-Fi, Wi-Fi Direct (Wi-Fi Wired communication networks may include wired LAN (Local Area Network), wired WAN (Wide Area Network), power line communication (PLC), USB communication, Ethernet, serial communication, optical/coaxial cable, etc.

The blockchain 200 described in the present invention may refer to a plurality of nodes that execute an algorithm to jointly manage security information by configuring a plurality of transaction information into blocks, linking various blocks like a chain using hash, and distributing and storing information in digital equipment of nodes that are participants (peers) of the blockchain 200, which are not a central management server, in a peer-to-peer (P2P) network distributed environment, and the blockchain 200 may be configured to include a plurality of nodes that operate by executing algorithms related to the blockchain 200.

At this time, the blockchain 200 can be configured as a blockchain 200 system, and by using such a blockchain 200, data cannot be forged or altered, so reliable and safe transactions and data processing can be performed even without an authoritative relay agency.

Furthermore, to implement the blockchain 200 as described above, each of the multiple nodes may be configured as a terminal.

In addition, the node may be configured to include various components such as a communication unit for communicating with other nodes, a display unit for displaying various information, a storage unit for storing various data including data for algorithms related to the blockchain 200 and blocks generated through the blockchain, a user input unit for receiving user input, and a control unit for performing the overall control function of the node, and the control unit may control the components constituting the node.

At this time, the control unit executes the overall control function of the node using the programs and data stored in the storage unit configured in the node. The control unit may include a RAM, a ROM, a CPU, a GPU, and a bus, and the RAM, ROM, CPU, GPU, etc. may be connected via a bus.

The storage unit may be configured as a database (hereinafter, referred to as DB) or may be configured as various storage means such as a physical hard disk, a solid state drive (SSD), a web hard disk, etc.

In addition, each of the multiple nodes may include all kinds of handheld-based wireless communication devices that can be connected to an external server through a wireless communication network, such as a smart phone, a mobile phone, a PDA (Personal Digital Assistant), a PMP (Portable Multimedia Player), a tablet PC, etc., and may also include communication devices that can be connected to an external server through a network, such as a desktop PC, a tablet PC, a laptop PC, and an IPTV including a set-top box.

Furthermore, each of the multiple nodes may be embodied as a server.

Each of the multiple nodes can store information shared on the blockchain 200 in a secure area of memory or in a secure area of a database.

In other words, in the present invention, multiple nodes can be configured based on various types of blockchain 200, such as participants participating as nodes in blockchain 200 being configured with the same type of device or being configured with different types of devices.

In addition, the operational configuration of the blockchain 200 described in the present invention may be performed by each node constituting the blockchain 200 or by a specific node, and more specifically, may be performed by a control unit configured in the node.

The service providing device 100 may be configured as a service server, and the personal terminal may register personal membership information corresponding to the user of the personal terminal in the service server to perform membership registration.

Hereinafter, the personal terminal will be referred to as a member terminal, and the individual will be referred to as a member.

In addition, the service providing device 100 can generate profile information including only the data related to the subject to be exposed selected by the member from the member information, store and register the profile information in the blockchain 200, and provide the profile information stored in the blockchain 200 so that it can be used by one or more users.

In this case, the user who uses the information stored in the blockchain 200 may be an institution or a business, and the user may be an entity who uses the profile information to determine whether or not a person is eligible to access or subscribe to a service provided by the institution or business, or to join the institution or business.

Examples of such users include a variety of users such as banks that use profile information to determine eligibility for loan screening or product subscriptions, referral agencies that use profile information to mediate introductions between members who meet the qualification conditions, companies that use profile information to determine eligibility for employment, schools that use profile information to determine eligibility for admission, and communities or SNS (Social Networking Services) that use profile information to determine eligibility for membership.

In addition, the blockchain 200 can provide a unique API (application programming interface) to the user terminal, and the user terminal can generate a search program using the API provided by the blockchain 200 to search for profile information stored in the blockchain 200.

As mentioned above, from the perspective of users who use personal profile information to determine eligibility, the reliability and integrity of the profile information is important, and this can be partially guaranteed through the blockchain 200. However, if a member creates and registers profile information containing false information at the profile creation stage before it is stored in the blockchain 200, unreliable profile information will remain registered in the blockchain 200 regardless of the reliability and integrity of the blockchain 200 itself, and therefore management of the profile information stored in the blockchain 200 is necessary.

The detailed operational configuration of the service providing device 100 for blocking and managing profile information containing such false information will be described in detail below based on the above-mentioned configuration.

Figure 2 is a configuration diagram of a service providing device 100 (hereinafter, service providing device 100) for personal identity verification based on a blockchain 200 according to an embodiment of the present invention.

As shown in the figure, the service providing device 100 may be configured to include a member management unit 110, a profile generation unit 130, a blockchain linkage unit 140, a collision determination unit 150, a danger notification unit 160, a user analysis unit 170, and a user management unit 120.

In this case, any one of the member management unit 110, profile generation unit 130, blockchain linkage unit 140, collision determination unit 150, danger notification unit 160, user analysis unit 170, and user management unit 120 may be configured as included in other components, and any one of the member management unit 110, user management unit 120, profile generation unit 130, blockchain linkage unit 140, collision determination unit 150, danger notification unit 160, user analysis unit 170, and user management unit 120 may be configured as a service control unit that performs the overall control function of the service providing device 100.

The service providing device 100 may further include a communication unit that communicates with the member terminal and the user terminal through a communication network, and among the components constituting the service providing device 100, a component that communicates with at least one of the member terminal and the user terminal can communicate with at least one of the member terminal and the user terminal through the communication unit. Below, a description of the communication unit will be omitted.

First, the member management unit 110 can communicate with the member's member terminal via a communication network and receive member information from the member terminal.

At this time, the service providing device 100 may be configured to include a member DB 101, and the member management unit 110 may store member information in the member DB 101.

In addition, the user management unit 120 can communicate with one or more user terminals through a communication network, and can store user information transmitted from the user terminals in a user DB 102 included in the service providing device 100.

In addition, the profile generation unit 130 may transmit profile request information to the member terminal to register the member's profile information in the blockchain 200 when registering member information in the member DB 101.

In this case, the profile generation unit 130 may be configured to include a registration unit 132, a category classification unit 133, and a verification unit 131 as shown in the figure, and some of the components constituting the profile generation unit 130 may be configured separately from the profile generation unit 130.

First, the registration unit 132 can transmit profile request information to the member terminal of the member corresponding to the member information when registering the member information in the member DB 101.

At this time, the registration unit 132 can generate the profile request information as profile generation interface related data for generating profile information and transmit it to the member terminal, and the registration unit 132 can transmit the profile generation interface including an interface for determining attributes to be exposed to a user using the blockchain 200 from among the member information and one or more attributes constituting the member information at the member terminal.

Accordingly, the member terminal can select one or more exposed attributes, which are attributes to be exposed to the user, from among one or more attributes constituting the member information through the profile generation interface, according to the member's input, generate selection information including the selected one or more exposed attributes, and transmit the selection information to the registration unit 132.

In this case, examples of one or more attributes constituting the member information may include various attributes such as name, gender, address, age, occupation, assets, educational background, annual salary, owned vehicles, owned real estate, qualifications by type, career details by career type, etc.

In addition, when the registration unit 132 receives the selection information, it can extract member information corresponding to the selection information from the member DB 101.

In addition, the registration unit 132 can extract attribute values for one or more attributes to be exposed included in the selection information from the member information extracted corresponding to the selection information, and provide the extracted attribute values to the category classification unit 133.

The category classification unit 133 may be configured to include a first learning model, and the first learning model may be preset in the category classification unit 133 in a state in which the correlation between the attribute values for each attribute and the search categories used by users who search for profile information through the blockchain 200 has been learned.

In this case, the attribute value may include an attribute to which the attribute value belongs and a parameter set for the attribute.
Additionally, the search category may be a search expression or a search term.

As an example, if the attribute is "wealth" and the attribute value for the attribute is "12 billion," the first learning model may be trained to correspond to search categories such as "Owns wealth of over 10 billion" for the attribute value of wealth being 12 billion; if the attribute is "occupation" and the attribute value is "lawyer," the first learning model may be trained to correspond to search categories such as "legal professional,""lawyer," etc. for the attribute value of occupation being lawyer.
That is, the search category learned in the first learning model in response to the attribute value may be set as any one of a parameter, a condition, and a range.

As described above, when the category classification unit 133 receives attribute values for each attribute to be exposed from the registration unit 132, it can apply the attribute values for each attribute to be exposed to the first learning model preset, and calculate one or more recommended categories corresponding to the attribute values.
In this case, the category classification unit 133 applies the attribute value to the first learning model to calculate one or more candidate categories related to the attribute value and a correlation coefficient for each of the one or more candidate categories, selects candidate categories from the one or more candidate categories whose correlation coefficient is equal to or greater than a preset first reference value, and determines each of the selected candidate categories as a recommended category corresponding to the attribute value.

In addition, the category classification unit 133 may apply the attribute values extracted for each attribute to be exposed from the member's membership information based on the selection information to the first learning model to calculate one or more recommended categories for each attribute to be exposed, and then provide these to the registration unit 132.
Accordingly, the registration unit 132 can transmit recommendation information including one or more recommendation categories determined (recommended) by the category classification unit 133 according to the attributes to be exposed selected by the member to the member terminal.

In addition, the member terminal can receive and display the recommendation information through the profile creation interface, and generate profile creation request information including a selected category selected by the member from one or more recommended categories for each attribute to be exposed based on the recommendation information through the profile creation interface, and transmit the profile creation request information to the registration unit 132.
In this case, the recommendation category and selection category may be set by any one of parameters, conditions, and ranges, the same as the search category, and the recommendation information and selection information may include at least one of categories set by parameters, categories set by conditions, and categories set by ranges.

In addition, the registration unit 132 may generate profile information including selected categories for each attribute to be exposed based on profile generation request information received from the member terminal, and provide the profile information to the block chain linking unit 140.
At this time, the profile information may include member terminal and member identification information for identifying the member.

Meanwhile, when the blockchain interlocking unit 140 receives the profile information from the registration unit 132, it can transmit the profile information to the blockchain 200, and the blockchain 200 generates a block including the profile information at a specific node constituting the blockchain 200 and transmits the block to one or more other nodes constituting the blockchain 200 so that each of the one or more other nodes constituting the blockchain 200 stores the block by linking it to other blocks through block hashes, thereby distributing and storing the block including the profile information in multiple nodes constituting the blockchain 200.
At this time, when a specific node with block generation authority receives the profile information, the blockchain 200 can generate a block including the profile information during its block generation period, and then transmit it to each of the multiple other nodes participating in the blockchain 200, thereby storing the profile information in the blockchain 200.

As described above, the service providing device 100 can generate profile information for each of a plurality of different members and register it in the blockchain 200, and can expose profile information set in categories according to attributes to be exposed included in the profile information, thereby helping members who are reluctant to expose (disclose) their personal details in precise figures such as assets or annual salary to do so without feeling reluctant.

Through the above-mentioned configuration, a user terminal connected to the blockchain 200 transmits search request information including one or more attribute-based search categories for the search conditions to the blockchain 200 in order to search for members who satisfy the search conditions, and upon receiving the search request information, the blockchain 200 can generate search result information including one or more member-specific profile information that satisfies the search conditions and transmit it to the user terminal transmitting the search request information.
At this time, one or more attributes constituting the search condition may be the same as one or more attributes constituting the member information.
At this time, the blockchain 200 may select profile information that has a search category that matches the search category included in the search criteria or includes a category that is higher than the corresponding search category as profile information to be included in the search result information.

Meanwhile, as described above, if the user checks a specific member who satisfies the search conditions based on the search result information received by the user terminal and finds that the profile information of the specific member contains false information (false data), the user terminal can generate claim information requesting verification of the authenticity of a category of selected attributes selected by the user from one or more exposed attributes included in the profile information or a specific category of the profile information, and transmit the claim information to the blockchain 200.
At this time, the complaint information may include specific profile information that is the target of authenticity verification, one or more selected attribute categories that are the target of authenticity verification selected by the user in the specific profile information (or one or more categories that are the target of authenticity verification included in the profile information), identification information of the user terminal that registered the complaint information, user identification information corresponding to the user terminal that registered the complaint information, etc.

In addition, when the blockchain 200 receives the complaint information, a specific node included in the blockchain 200 generates a block including the complaint information, and transmits it to one or more other nodes constituting the blockchain 200 and stores it in a distributed manner, thereby registering the complaint information in the blockchain 200.

In the above-mentioned configuration, when the registration unit 132 receives correction request information for a request to correct profile information from the member terminal, it can generate updated profile information by correcting the profile information according to the correction request information and transmit it to the blockchain 200, and can transmit the updated profile information including details of corrections to the data that has been corrected in the profile information to the blockchain linkage unit 140.
In addition, the blockchain interlocking unit 140 may store the updated profile information in the blockchain 200 in the same manner as the profile information is stored in the blockchain 200.
At this time, the blockchain interlocking unit 140 can transmit the updated profile information or the profile information to the blockchain 200 as transaction information, and the blockchain 200 can generate and store a block including the transaction information.
At this time, the transaction information may include one or more operational functions and data required to perform a unit task.

In addition, the registration unit 132 may generate transaction information for a request to delete existing profile information corresponding to the updated profile information and transmit it to the blockchain interoperation unit 140, and the blockchain interoperation unit 140 may transmit the transaction information for the deletion request to the blockchain 200.
In addition, the blockchain 200 may generate and store a block including transaction information for the deletion request, and may prevent existing profile information from being transmitted to the user terminal based on the transaction information for the deletion request.

In this way, the blockchain linkage unit 140 can record all transactions such as registration, modification, and deletion of the profile information in the blockchain 200 to ensure the integrity of the profile information provided to the user terminal.

Meanwhile, the blockchain interlocking unit 140 can monitor (check) whether the complaint information is registered in the blockchain 200.
In addition, when the complaint information is registered in the blockchain 200, the blockchain interlocking unit 140 can receive the complaint information from the blockchain 200 and transmit it to the collision determination unit 150.

Meanwhile, the collision determination unit 150 can monitor whether complaint information regarding a request for authenticity verification of a specific category included in the specific profile information is registered in the blockchain 200 in conjunction with the blockchain linkage unit 140.
In addition, the collision determination unit 150 can search the user DB 102 based on the user identification information or user terminal identification information included in the complaint information when the complaint information is registered in the blockchain 200, and extract user information corresponding to the user identification information or user terminal identification information from the user DB 102.
In addition, the collision determination unit 150 may be preset with a second learning model in which the correlation between the user information using the blockchain 200 and the category to be verified for authenticity has been learned.
In other words, the second learning model can learn the association between the category to be verified and the user who requested the verification.

Accordingly, the collision judgment unit 150 can apply the user information extracted from the user DB 102 based on the complaint information and a specific category that is the target of authenticity confirmation based on the complaint information to the second learning model, and calculate a correlation coefficient, which is the degree of correlation between the user information corresponding to the complaint information and the specific category that is the target of authenticity confirmation.
In addition, the collision determination unit 150 may set the correlation coefficient as a degree of danger and provide the correlation coefficient to the danger notification unit 160 .

Meanwhile, the risk notification unit 160 can confirm whether the user of the user information corresponding to the complaint information is a user who needs to verify the authenticity of the selected attribute category depending on whether the risk level, which is the correlation coefficient calculated through the second learning model, is equal to or greater than a preset second reference value.
In other words, if a user is a law firm that employs lawyers and requests authenticity verification of a lawyer set in a category corresponding to an attribute corresponding to the occupation in the member's profile information, there is a high correlation between the user, who is a law firm that employs lawyers, and the authenticity verification target category selected by the user to confirm that the member is indeed a lawyer, so the second learning model that receives user information for the law firm and the category for the lawyer as input can calculate a correlation coefficient equal to or greater than the second reference value.

However, when a user who is a law firm requests verification of the authenticity of a category set to correspond to an attribute related to assets in the member's profile information, there is no need for the law firm to verify the authenticity of the member's assets, and therefore the correlation between the user who is a law firm and the asset-related category is low. Therefore, a second learning model that receives as input the user information for the law firm and a category set for the member's assets of 10 billion or more can calculate a correlation coefficient less than the second reference value.
In this case, if the user is a marriage broker, it is appropriate for the marriage broker to raise a request to verify the authenticity of the property category, so a second learning model that receives the user information of the marriage broker and the property category as input can calculate a correlation coefficient equal to or greater than the second reference value.

As described above, the danger notification unit 160 can determine whether the user who registered the complaint information has the authority to request authenticity verification for the category for which authenticity verification is requested based on the complaint information, based on the correlation coefficient calculated by the collision determination unit 150 through the second learning model.

In the above-mentioned configuration, the collision determination unit 150 can identify user information corresponding to the user who registered the complaint information in the user DB 102 when registering the complaint information in the blockchain 200, and update the registration details of the complaint information included in the identified user information based on the complaint information, and such registration details of the complaint information can also be applied to the second learning model as data for calculating the correlation coefficient of the second learning model and data for learning the second learning model.

In addition, the user information applied to the second learning model may include the user's industry and the registration details for one or more complaint information registered by the user in the blockchain 200.

As described above, when the risk level, which is the correlation coefficient calculated through the second learning model corresponding to the complaint information, is equal to or greater than the second predetermined reference value, the risk notification unit 160 can determine that there is a need to verify the authenticity of a specific category that is a target for authenticity verification included in the profile information of a specific member corresponding to the complaint information.
In addition, the risk notification unit 160 can extract member information corresponding to complaint information in which the risk level is calculated to be equal to or higher than a preset second reference value from the member DB 101, extract member identification information from the extracted member information, and then generate risk notification information including the extracted member identification information and the specific category to be verified for authenticity, and transmit the information to one or more user terminals using the blockchain 200 via a communication network.
At this time, the danger notification unit 160 can transmit the danger notification information to one or more user terminals registered in the user DB 102 .

In addition, the danger notification unit 160 may not generate danger notification information in response to the complaint information if the degree of danger is less than a preset second reference value.
In addition, the risk notification unit 160 can generate transaction information for deleting complaint information for which the risk level is less than a preset second standard value and transmit it to the blockchain 200 through the blockchain interlocking unit 140, thereby preventing complaint information for which the risk level is calculated to be less than the preset second standard value from being searched in the blockchain 200.
Alternatively, the risk notification unit 160 may, in conjunction with the user management unit 120, transmit deletion request information to a user terminal that has registered complaint information whose risk level is less than a preset second reference value, to request the user terminal to delete the complaint information registered (stored) in the blockchain 200.

In the above-mentioned configuration, when the claim information includes a plurality of selected attribute categories to be verified for authenticity, the collision determination unit 150 can calculate a correlation coefficient for each of the plurality of selected attribute categories as described above, and the danger notification unit 160 can generate a plurality of danger notification information corresponding to the plurality of selected attribute categories, respectively, and transmit the information to each user terminal.

As described above, the service providing device 100 can reduce the burden on members who wish to expose their profiles to institutions or businesses by supporting them to set their profile information in a category to which the member's personal information belongs and expose it to institutions or businesses. It can also ensure the reliability and completeness of the member's profile by managing the member's profile through the blockchain 200. When a user who searches a member's profile requests a verification of the authenticity of the member's personal information, it determines a correlation between the user who requested the verification and the personal information-related category of the member that is the subject of the verification, and only if there is a correlation, it provides information on the member's profile for which verification has been requested to other users who use the blockchain 200 to search the member's profile, thereby supporting the avoidance of members whose qualifications are questionable, thereby increasing the user's reliability in the member's profile provided to the user.

Meanwhile, in the above-mentioned configuration, the service providing device 100 provides risk notification information only to users who are related to the member profile for which authenticity verification is requested, thereby reducing the load on the service providing device 100, and further increasing the reliability of the member profile registered in the blockchain 200 by providing an opportunity for explanation to the member corresponding to the risk notification information and allowing the member to actively clarify the profile he or she registered, which will be described in detail below.

First, the service providing apparatus 100 may further include the user analysis unit 170 as described above.
The user analysis unit 170 may be preset with a third learning model in which a correlation between the danger notification information and the user information has been learned.
Accordingly, the user analysis unit 170 can operate in conjunction with the danger notification unit 160 to apply the generated danger notification information to the third learning model when the danger notification unit 160 generates danger notification information, determine the danger notification target range based on the user information calculated through the third learning model, and transmit the determined range to the danger notification unit 160.
In addition, the danger notification unit 160 can select one or more users who satisfy the danger notification target range based on user information for each user using the blockchain 200, and transmit the danger notification information to the user terminal for each selected user.

As an example, the user analysis unit 170 can train the third learning model to learn the correlation between the categories included in the profile of a member who is a target of danger notification based on danger notification information and user information including the user's industry, and when the third learning model has completed learning, can apply the danger notification information generated by the danger notification unit 160 to the third learning model to calculate user information that is highly relevant to the danger notification information generated by the danger notification unit 160, and can determine a danger notification target range based on the calculated user information so that users who have the same or similar industry as the calculated user information are determined to be danger notification targets who are targets for receiving danger notification information.
In addition, the danger notification unit 160 can extract one or more pieces of user information belonging to the danger notification target range from the user DB 102, targeting one or more pieces of user information stored in the user DB 102, and then transmit the danger notification information to one or more user terminals corresponding to the extracted one or more pieces of user information, respectively.

In the above-mentioned configuration, the user analysis unit 170 may provide the user management unit 120 with information on the danger notification target range, and the danger notification unit 160 may transmit the danger notification information to the user management unit 120 .
Accordingly, the user management unit 120 can search the user DB 102 based on the danger notification target range received from the user analysis unit 170, extract one or more user information items that satisfy the danger notification target range from the user DB 102, and then transmit the danger notification information received from the danger notification unit 160 to one or more user terminals that respectively correspond to the extracted one or more user information items.
That is, the user management unit 120 may transmit danger notification information to the user instead of the danger notification unit 160 .
In this way, when the service providing device 100 receives a request from a specific user to verify the authenticity of a specific category included in a specific member's profile, the service providing device 100 selects only users who use the specific category that is the target of authenticity verification included in the specific member's profile for member qualification screening, and performs risk notification, thereby transmitting risk notification information only to users who need risk notification, thereby preventing users from being harmed by a member's false profile, while minimizing the scope of risk notification targets and reducing the burden of risk notification.

Meanwhile, the danger notification unit 160 may transmit the danger notification information to a member terminal corresponding to the danger notification information.
At this time, the danger notification unit 160 transmits danger notification information to the member management unit 110, and the member management unit 110 searches the member DB 101 for a specific member corresponding to the danger notification information, extracts the member information of the specific member from the member DB 101, and then transmits the danger notification information to a member terminal corresponding to the extracted member information.
In addition, when the member management unit 110 receives the danger notification information, it can match the danger notification information with the member information of a specific member corresponding to the danger notification information in the member DB 101 and store the danger notification information.

Meanwhile, when resolution request information to prove that a specific category of the profile information registered by the specific member, for which verification of authenticity based on the danger notification information is requested, is true, is received from the member terminal of the specific member, the member management unit 110 can transmit the resolution request information and the danger notification information to the registration unit 132.
At this time, the resolution request information may include a certificate-related image (certificate image) for proving that the specific category is true.
In addition, the registration unit 132 included in the profile generation unit 130 can transmit the resolution request information and the danger notification information to the verification unit 131 upon receiving the resolution request information and the danger notification information.
In addition, a fourth learning model in which the correlation between the certificate image and the certificate type is learned may be pre-set in the verification unit 131, and the verification unit 131 may apply the certificate-related image included in the resolution request information to the fourth learning model, and identify the type of certificate corresponding to the certificate-related image included in the resolution request information through the fourth learning model.

In this case, the first learning model, the second learning model, the third learning model and the fourth learning model described in the present invention may each be configured with a deep learning algorithm, and the deep learning algorithm may be configured with one or more neural network models.
In addition, the neural network model (or neural network) described in the present invention may be composed of an input layer, one or more hidden layers, and an output layer. Various types of neural networks such as a deep neural network (DNN), a recurrent neural network (RNN), a convolutional neural network (CNN), a support vector machine (SVM), etc. may be applied to the neural network model.

In addition, the verification unit 131 may be preset with issuing authority information for a certification authority that issues a certificate for each of a plurality of different certificate types, and the verification unit 131 may identify an external server of a certification authority corresponding to the identified certificate type based on the issuing authority information.
In addition, the verification unit 131 may generate authentication request information including a specific category of the profile of the specific member for which authenticity verification is requested based on the certificate-related image included in the resolution request information and the risk notification information, and then transmit the authentication request information to an external server identified in response to the resolution request information.
In addition, the verification unit 131 transmits the authentication information to the registration unit 132 when receiving authentication information regarding successful authentication in response to the authentication request information from the external server, and the registration unit 132 can search the blockchain 200 for profile information of the specific member stored in the blockchain 200 and receive it from the blockchain 200 via the blockchain linkage unit 140 when receiving the authentication information.
In addition, as shown in FIG. 3, the registration unit 132 can identify a specific category in the profile information of the specific member for which verification of authenticity based on the danger notification information is requested, and insert the authentication information into the profile information by matching it with the specific category identified in the profile information of the specific member.
In addition, the registration unit 132 can transmit the profile information into which the authentication information is inserted to the blockchain interlocking unit 140 and register the profile information of the specific member into which the authentication information is inserted in the blockchain 200 through the blockchain interlocking unit 140.

In addition, when the registration unit 132 receives authentication information corresponding to the danger notification information, it can identify the complaint information corresponding to the danger notification information in the blockchain 200, and then identify the specific user terminal that registered the identified complaint information in the blockchain 200 based on the user information, danger notification information, and the identified complaint information stored in the user DB 102.

In addition, the registration unit 132 can transmit resolution confirmation request information including the danger notification information and authentication information to the specific user terminal.
At this time, the resolution confirmation request information may further include the identified complaint information.
Also, the user management unit 120 may generate the cancellation confirmation request information in cooperation with the registration unit 132 and then transmit the cancellation confirmation request information to the specific user terminal.
Furthermore, the registration unit 132 or the user management unit 120 may identify the specific user terminal based only on the danger notification information.

Meanwhile, the specific user terminal that receives the resolution confirmation request information can display the resolution confirmation request information, and if the specific user of the specific user terminal confirms that the specific category included in the profile information of the specific member for which the specific user has requested to confirm the authenticity is true, the specific user terminal can generate resolution information corresponding to the resolution confirmation request information based on the input of the specific user and register it in the blockchain 200.
In addition, the collision determination unit 150 can check through the blockchain interlocking unit 140 whether resolution information for resolving the complaint information corresponding to the danger notification information is registered in the blockchain 200, and generate notification information when registering the resolution information and transmit it to the danger notification unit 160.
Accordingly, the danger notification unit 160 may not transmit danger notification information corresponding to the resolution information according to the notification information to the user terminal when receiving the notification information.

Through the above-mentioned configuration, the service providing device 100 according to the present invention can, on the user side, determine the membership qualification based on the member profile registered in the blockchain 200, notify the specific member when a complaint is registered for a category that requires verification of authenticity in the profile of a specific member, and guide the specific member to explain the complaint. Through this, when the complaint is resolved through the certificate registered by the specific member, the user side who registered the complaint can be guided to register the resolution information in the blockchain 200, thereby ensuring the reliability and integrity of the member profile registered in the blockchain 200.

As described above, the present invention generates profile information consisting of categories to which attribute values belong for attributes to be exposed selected by the member from among the member information registered by an individual member, registers the profile information in the blockchain 200, and manages logs for corrections and verifications of the profile information through the blockchain 200, thereby helping to ensure the reliability and completeness of the profile information provided to users who search for members using the blockchain 200. Furthermore, when a complaint is received regarding a request for authenticity confirmation of the profile information, the complaint is transmitted to all users using the blockchain 200 and the member who is the subject of the request for authenticity confirmation, helping to actively verify and clarify the profile information, thereby helping to increase the reliability of qualifications using the profile information.

FIG. 4 is a flowchart illustrating a service providing method for personal identity verification based on a blockchain 200 by the service providing apparatus 100 according to an embodiment of the present invention.
First, the service providing device 100 can store member information received from a member terminal of an individual member (S1).
In addition, the service providing device 100 applies attribute values included in the member information for each attribute to be exposed selected by the member among one or more attributes constituting the member information to a first learning model that has been preset in a state in which a correlation between a search category for searching the member and the attribute values has been learned, to calculate one or more recommended categories, and then recommends the one or more recommended categories to the member terminal (S2).The service providing device 100 may generate profile information including a selected category selected by the member terminal among one or more recommended categories for each attribute to be exposed (S3), and register the profile information in the blockchain 200 (S4).

In addition, the service providing device 100 monitors whether complaint information in response to a request for authenticity verification of a specific category included in the specific profile information registered in the blockchain 200 is registered in the blockchain 200 (S5), and when the complaint information is registered (S6), the correlation between the user information using the blockchain 200 and the category to be verified is learned, and the specific category and the specific user information of the specific user who registered the complaint information in the blockchain 200 are applied to a second learning model that is preset, and the correlation coefficient between the specific category and the specific user information is calculated as a risk level (S7).

The service providing device 100 can also extract member identification information from the member information corresponding to the complaint information in which the risk level is calculated to be equal to or greater than a preset second reference value, generate risk notification information including the extracted member identification information and the specific category, and transmit the information to one or more user terminals using the blockchain 200 (S8, S9).

The components described in the embodiments of the present invention may be implemented using one or more general-purpose or special-purpose computers, along with hardware such as a storage unit such as a memory, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable array (FPA), a programmable logic unit (PLU), a microprocessor, software including an instruction set, or a combination thereof, or any other device capable of executing and responding to instructions.

The above content may be modified and altered by a person having ordinary knowledge in the technical field to which the present invention pertains, without departing from the essential characteristics of the present invention. Therefore, the embodiments disclosed in the present invention are for the purpose of illustrating, not limiting, the technical ideas of the present invention, and such embodiments do not limit the scope of the technical ideas of the present invention. The scope of protection of the present invention should be interpreted according to the scope of the claims below, and all technical ideas within the scope equivalent thereto should be interpreted as being included in the scope of the present invention.

Claims (10)

A member management unit that stores member information received from the member terminal of an individual member;
a profile generating unit for calculating one or more recommended categories by applying attribute values included in the member information for each exposed attribute selected by the member among one or more attributes constituting the member information to a first learning model in which a correlation between a search category for searching the member and the attribute values is learned, and then recommending the calculated one or more recommended categories to the member terminal, and generating profile information including a selected category selected by the member terminal among the one or more recommended categories for each exposed attribute;
a blockchain interlocking unit that registers the profile information in a blockchain;
a collision determination unit that monitors whether complaint information in response to a request for authenticity verification of a specific category included in specific profile information is registered on the blockchain through the blockchain interlocking unit, and calculates a correlation coefficient between the specific category and the specific user information of the specific user who registered the complaint information on the blockchain as a risk level by applying the specific category and specific user information of the specific user who registered the complaint information on the blockchain to a second learning model that is preset in a state in which a correlation between user information using the blockchain and a category to be verified at the time of registration of the complaint information is learned; and a risk notification unit that extracts member identification information from member information corresponding to the complaint information whose risk level is calculated to be equal to or higher than a preset reference value by the collision determination unit, generates risk notification information including the extracted member identification information and the specific category, and transmits the risk notification information to one or more user terminals using the blockchain. The danger notification unit transmits the danger notification information to a member terminal corresponding to the danger notification information,
The collision determination unit checks whether resolution information for resolving the complaint information corresponding to the danger notification information is registered in the blockchain through the blockchain linkage unit, and generates notification information when the resolution information is registered and transmits the notification information to the danger notification unit.
The service providing device for blockchain-based individual identity verification as claimed in claim 1, wherein the danger notification unit does not transmit danger notification information corresponding to the resolution information to the user terminal when receiving the notification information. The device for providing a service for blockchain-based personal identity verification according to claim 1, characterized in that the user information learned in the second learning model includes details of registration of one or more complaint information registered by the user in the blockchain and the user's business type. The service providing device for blockchain-based personal identity verification according to claim 1, characterized in that the recommendation category is set as one of parameters, conditions, and ranges. A third learning model in which a correlation between the danger notification information and the user information is learned is preset, and a user analysis unit is further included which, in cooperation with the danger notification unit, determines a danger notification target range based on user information calculated by applying the generated danger notification information to the third learning model when the danger notification information is generated by the danger notification unit, and transmits the determined danger notification target range to the danger notification unit;
2. The service providing device for blockchain-based personal identity verification as claimed in claim 1, wherein the danger notification unit selects one or more users who satisfy the danger notification target range from user information for each user using the blockchain, and transmits the danger notification information to the user terminal for each selected user. 6. The apparatus for providing a service for blockchain-based individual identity verification according to claim 5, further comprising: a member DB in which member information for each member is stored; and a user DB in which user information for each user is stored. The danger notification unit transmits the danger notification information to a member terminal corresponding to the danger notification information through the member management unit,
the member management unit transmits the resolution request information and the risk notification information to the profile creation unit when receiving resolution request information including a certificate image corresponding to the risk notification information;
2. The apparatus for providing a service for blockchain-based individual identity verification as claimed in claim 1, wherein the profile generation unit identifies a type of certificate corresponding to the resolution request information by applying the certificate image included in the resolution request information to a fourth learning model that is preset in a state in which a correlation between a certificate image and a certificate type is learned when receiving the resolution request information and the risk notification information, transmits authentication request information including the certificate image included in the resolution request information and a specific category according to the risk notification information to a preset external server corresponding to the identified certificate type, and, when receiving authentication information regarding authentication success corresponding to the authentication request information from the external server, inserts the authentication information into member profile information corresponding to the authentication information, and registers the authentication information in the blockchain through the blockchain linkage unit. The service providing device for blockchain-based personal identity verification according to claim 7, characterized in that the profile generating unit identifies a user terminal that has registered the complaint information corresponding to the danger notification information in the blockchain when generating profile information into which the authentication information corresponding to the danger notification information is inserted, and then transmits resolution confirmation request information including the danger notification information and authentication information to the identified user terminal. The device for providing a service for blockchain-based personal identity verification according to claim 1, characterized in that, when the profile information is received, a specific node having block generation authority generates a block including the profile information during its block generation period, and then transmits the block to each of a plurality of nodes participating in the blockchain, thereby storing the profile information in the blockchain. A service providing method for blockchain-based personal identity verification of a service providing device,
Storing the member information received from the member terminal of the individual member;
applying attribute values included in the member information for each attribute to be exposed selected by the member among one or more attributes constituting the member information to a first learning model that is preset in a state in which correlations between search categories for searching the member and the attribute values are learned, to calculate one or more recommended categories, and then recommending the categories to the member terminal; generating profile information including a selected category selected by the member terminal among one or more recommended categories for each attribute to be exposed, and registering the profile information in a blockchain;
a step of: monitoring whether or not complaint information in response to a request for authenticity verification of a specific category included in specific profile information registered in the blockchain is registered in the blockchain; applying the specific category and specific user information of the specific user who registered the complaint information in the blockchain to a second learning model preset in a state in which a correlation between user information using the blockchain and a category to be verified at the time of registration of the complaint information is learned, and calculating a correlation coefficient between the specific category and the specific user information as a risk level; and extracting member identification information from member information corresponding to the complaint information whose risk level is calculated to be equal to or higher than a preset reference value, generating risk notification information including the extracted member identification information and the specific category, and transmitting the risk notification information to one or more user terminals using the blockchain.

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