CN106131017B - Cloud computing information security visualization system based on trust computing - Google Patents
Cloud computing information security visualization system based on trust computing Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/20—Network architectures or network communication protocols for network security for managing network security; network security policies in general
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- H—ELECTRICITY
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- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
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- H04L41/069—Management of faults, events, alarms or notifications using logs of notifications; Post-processing of notifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/22—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks comprising specially adapted graphical user interfaces [GUI]
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Abstract
The invention provides the cloud computing information security visualization system based on trust computing, the visualization system is the structure global trust environment on the basis of with functional modules such as data mining, data identification, Data Dimensionality Reductions, and then set up a storage from data mining to data processing, then the information security visualization system shown to trust data.From the beginning of excavation, pretreatment module from data, the information analysis of trust data has been believable with the data of display module, the system is by brand-new block combiner and the algorithm of innovation, ensure that the credible and secure of the network information, the credible quantization to information security and visualization assessment are realized, is that the network security management of administrative staff is provided convenience.
Description
Technical field
The present invention relates to field of information security technology, in particular to the cloud computing information security based on trust computing
Visualization system.
Background technology
In recent years, social informatization is constantly advanced.Network application is more and more extensive, and network security problem is also increasingly dashed forward therewith
Go out sternness.Network security visualization also becomes a more and more concerned field in recent years, using the visual characteristic of people, will
Data are represented in the form of graph image, the information that user can be contained in more intuitive understanding data so that network management
Person is judged to safety problem present in network, so as to analysis is made to network condition.
About the concept of trust computing, give in 15408 standards of ISO/IEC defined below：One believable group
The behavior of part, operation or process is predictable under any operating condition, and can resist application software, virus well
And the destruction that certain physical disturbance is caused.The basic ideas of trust computing are that introducing safety chip (can on a hardware platform
Letter console module) improving the security of terminal system, that is to say, that a root of trust is implanted on each terminal platform, meter is allowed
Calculation machine all builds trusting relationship from BIOS to operating system nucleus layer, then to application layer；Based on this, expand on network,
Corresponding trust chain is set up, hence into the computer immunity epoch.When terminal is under attack, be capable of achieving self-protection, self
Management and self-recovery.
Trust computing is given birth to for behavior safety.Exist according to Chinese information security expert《Software action》Described in one book, OK
Should include for safety：The features such as the confidentiality of behavior, the integrality of behavior, the authenticity of behavior, it is in terms of military posture map, existing
In the confidentiality and authenticity of the more formula researchs of people how guarantee information, but for the integrality of behavior, especially may be used
All the time there is many deficiencies in the complete information depending on changing.
The content of the invention
It is an object of the invention to provide the cloud computing information security visualization system based on trust computing, above-mentioned to solve
Problem.
To solve above-mentioned technical problem, the technical solution used in the present invention is：
Cloud computing information security visualization system based on trust computing, it is characterised in that including the information being sequentially connected
Data-mining module, reliable information pretreatment module, information storage module and the information analysis based on credible integrality and displaying
Module；
Described information data-mining module, certification carry out the hardware node in the network of information, judge the network hardware
Node credibility, sets up the trusting relationship of gathered information, is obtained by way of capturing network packet in LAN
Original information data, the original information data include between IP sensitive information send detection data, mail-detection daily record data and
Three kinds of data types of distributed denial of service attack data；
The reliable information pretreatment module, carries out Data Dimensionality Reduction, identification and pretreatment of classifying, shape to original information data
Into measurable quantized data, the structure for global trust environment provides basis；
Described information memory module, by storage after pretreated information data encryption to the corresponding position of cloud storage resource pool
In putting, module, reliable information pretreatment module are excavated by information data and builds jointly trust data platform, and in trust data
The secure and trusted storage of data is realized on the basis of platform, global trust environment is built；The trust data platform also includes can
Letter software systems, the trusted software system are that operating system and application software provide the interface for using trust data platform, together
When provide integrity measurement to the trust data platform subsequent software, and the specific behavior to uncontrollable operating system enters every trade
To audit and analyzing；The subsequent software includes core loading software and uncontrollable operating system software；Described information data are dug
Starting point of the pick module for chain-of-trust, described information data-mining module, reliable information pretreatment module, information storage module and base
Chain-of-trust is collectively formed with display module in the information analysis of credible integrality；
The information analysis and display module based on credible integrality, in the trust data platform base for having built
On realize information extraction, analysis and show, for administrative staff provides visual trust data and figure displaying, which includes postal
Part contact relationship analysis shows that submodule, the distributional analysis of daily record number of times show that information sends relationship analysis displaying between submodule, IP
Submodule, sensitive email relaying path analysis and displaying submodule and distributed denial of service attack data analysis and displaying submodule
Block, specially：
(1) mail contact relationship analysis shows submodule, for the mail-detection daily record to storing in cloud storage resource pool
Data carry out extracting, analyze, process, and show the sensitive mail contact relation detected in a certain specified time period；The postal
Part contact relationship analysis shows that submodule enables users to interact with interface by the calendar that design may be selected the date, Yong Huke
Time period to be checked is selected arbitrarily, it is concrete to perform following operation：
According to the time period that user selects, system is chosen to the data in cloud storage resource pool, is chosen to after data
Data are stored in the form of dictionary, through data are analyzed with process, according to the transmitting-receiving corresponding relation of sensitive mail
Generate corresponding matrix data model；Subsequently, the transmitting-receiving by the form of chord figure to sensitive mail in the selected time period is closed
System carries out visual presentation, and each different mailbox is distributed in around circle, shows email address in circular outside profile, if
There is the transmission relation of sensitive information between different mailboxes, a ribbon lines are just done between two mailboxes, lines are thick
One side represents the sender of mail, and the thin side of lines represents the recipient of mail；
(2) daily record number of times distributional analysis shows submodule, for carrying out according to time period and the daily record quantity for detecting
Classification and statistics, and showed with the form of dendrogram, specially：
(2-1) log data set W of reception is divided into into n time subset according to the time period, i.e. W=W1, W2 ...,
Wj ..., Wn }；
(2-2) m daily record quantitative levels are manually set, by each time subset Wj divide m level subset, i.e. W1j,
W2j、…、Wij、…、Wmj；
(2-3) with log data set W as root, Wj is the first node layer, and Wij is second layer joint structure tree TW；
(2-5) value of each node in tree TW is calculated, the value of wherein leaf node is the value of the data element, non-
The value of leaf node is equal to the value sum of all child nodes of its lower floor, and so far log data set W has been configured to a tree-shaped
Data structure；
(2-6) dendrogram tree data structure of generation being mapped as on two dimensional surface；
(3) between IP, information sends relationship analysis displaying submodule, for being pointed to the IP of cloud storage resource pool relevant position
Between sensitive information send detection data carry out extracting, analyze, statistical disposition, shown by visual presentation form and interface alternation
Sensitive information in certain period of time between different IP sends incidence relation；Between the IP, information sends relationship analysis displaying
Module adopts time period selection mechanism and scatterplot layout exhibition method, uses joint form presentation-entity, lines presentation-entity it
Between contact, represent that with size of node information between IP sends the degree of strength of incidence relation, had according to mouse click event
Level displaying is carried out selectively；Mouse-over occurs the details of correspondent entity, the details bag on node
ID, discovery time are included, mouse is clicked on entity and can select all IP related with selected node；It is provided with search engine simultaneously
System, user select the IP related informations for wanting to check by being input into a certain IP；
The transmitting-receiving corresponding relation of the mail is obtained by the TCP closures for obtaining mail, specially：First by solution
The network packet that analysis is obtained, obtains including the information of source IP address, purpose IP address, source port, destination interface, sequence number,
And with four-tuple 1 { source IP address, source port, purpose IP address, destination interface } and four-tuple 2：{ purpose IP address, destination
Mouthful, source IP address, source port indicate the both direction of TCP connections respectively, then by the application layer data of network packet according to
Sequence number is sequentially write in journal file corresponding with TCP closures.
(4) sensitive email relaying path analysis and displaying submodule, for by analyzing and processing statistics mail-detection daily record
Detection data and email relaying relation in data, shows the road that a certain specific mail is forwarded between different mailboxes
Footpath, specially：
First, user is input into the keyword contained by mail header to be searched for or mail header, system in search inframe
Fuzzy matching retrieval is carried out to all of mail header in mail record data according to keyword, if not retrieving defeated with user
Enter the mail for matching, then send information reminding user and re-enter；If being successfully retrieved relative recording, just by retrieval result
User is showed in the form of Table contents, while the title for each mail adds Click events, user clicks on target postal
The title of part, backstage mail according to selected by user enter line retrieval matching again to mail record, find the forwarding record of the mail,
And the article receiving and sending people to each forwarding carries out statistic record in the form of dictionary, constructs the data required for visual presentation；Most
Afterwards, show that the forward-path of mail is presented to user and provides interactive function in the form of dendrogram being laminated with one, if certain postal
Case is afterbody recipient, then the summit of arborescence is hollow display, if this email relaying is also given in addition by the mailbox
One or several mailboxes, then represent the mailbox tree-like node of graph be set to it is solid；The Table contents include mail ID,
Mail header, mail time, mail originator and Email attachment number；
(5) distributed denial of service attack data analysis and displaying submodule, for extracting, analyzing and show distributed refusing
Exhausted service attack data, specially：
(5-1) distributed denial of service attack data analysis and displaying submodule are from the relevant position of cloud storage resource pool
Distributed denial of service attack data are extracted, is stored using Hash table, keyword adopts character string forms, word in Hash table
Time of the symbol string by source IP, port numbers and according to selected by the time interval of user's setting is signed three and constitutes, and appoints in this three
The newly-built element of meaning one will be inserted into newly-built element in Hash table when occurring different, each element table in graphical
Show a node, represent and the relation between connected main frame, the corresponding value of keyword represents this connection communication in Hash table
Data total amount in activity；
(5-2) coordinate value of all nodes is calculated, and then the point with coordinate information is drawn, and according to different need
Asking carries out time interval, the adjustment of the unit radius parameter of figure shows, wherein the principle followed when drawing is：Host node and
Line different colours between Centroid represent the size of amount of communication data in the time interval, carry out according to certain coefficient
Mapping；Host node is made up of some concentric circles, the port number that the contrast intensity of color is related in represent the connection.
Preferably, it is characterised in that the reliable information pretreatment module includes Data Dimensionality Reduction unit, data identification unit
And data sorting unit, the structure for global trust environment provides basis, specially：
(1) Data Dimensionality Reduction unit, for the redundancy between original information data, drop are eliminated using improved PCA
The dimension of low original information data, specially：
1) N bar original information datas to be analyzed are extracted, as matrix X=[x1,x2,…,xN], wherein xiIt is former for i-th
Beginning information data；
2) solve the mean value of N bar original information datas：
3) solve the covariance matrix A of N bar original information datas：
4) its main component element is calculated according to the characteristic value of covariance matrix A：
Aδi=μiδi
Wherein μi, δiRespectively characteristic value and corresponding characteristic vector；
5) according to given precision ρ, by numerical computation method, M eigenvalue of maximum before solving：
Wherein, the span of M is
6) front M eigenvalue of maximum and corresponding characteristic vector are taken, is made
Φ=[δ1,δ2,…,δM], Γ=diag (μ1,μ2,…,μM)
Then there are A Φ=Φ Γ；
7) calculate the new matrix of low-dimensional vector composition；
(2) data identification unit, for being identified detection to reducing the original information data after dimension, removes uncorrelated
Information data, obtain relevant information data；
(3) data sorting unit, for classifying according to data type to relevant information data.
Preferably, the data identification unit includes being identified distributed denial of service attack data, specially：
1) the n bar original information data matrixes after dimensionality reduction are set as Y '=ΦTX ', wherein X '=[x1,x2,…,xn], xj∈
X ', selects Db3 small echos as analysis wavelet, and selects maximum decomposition scale, carry out wavelet decomposition with decomposition algorithm to Y ' and obtain
To matrix of wavelet coefficients, when j≤out to out, high frequency coefficient is extracted from matrix of wavelet coefficients, calculate the variance of little coefficient
After Ψ, according to [j, log2Ψ] fitting a straight line tries to achieve slope k, so as to solve self similar parameter Hurst values H of network traffics：
H=(k-1)/2；
2) by analyzing the Hurst changing value Δ H=H not in the same time for trying to achievet-Ht-1, threshold T is set, if Δ H ＞
T, judges that distributed denial of service attack occurs, preserves corresponding original information data；If Δ H≤T, distributed refusal clothes are judged
Business is attacked and is not sent, and removes corresponding original information data.Technical scheme disclosed by the invention can include following beneficial effect
Really：
1st, setting Data Dimensionality Reduction unit, data identification unit and data sorting unit in reliable information pretreatment module,
Carry out dimensionality reduction, identification and classification to process to original information data, so as to realize that different types of data storage is provided in cloud storage
In the diverse location in source pond, beneficial to the information analysis based on credible integrality and extraction of the display module to corresponding data, enter one
Step improves the speed of service of system；
2nd, using visual technology, sensitive information type in the network captured in being directed to network security detection system
And transmission situation etc. carries out visual displaying, network security detection data are analyzed and are opened up from five different angles
Show, be that contact relationship analysis of the sensitive mail between each mailbox shows, sensitive information sends relation between IP and IP respectively
Analysis and visual presentation, the analysis displaying for being directed to forward-path of a certain specific mail between different mailboxes, daily record number of times
Distributional analysis is shown with displaying and distributed denial of service attack data analysis, can be provided accurately, in all directions in network
Security log information, improves the credible integrity degree of whole system；
3rd, in the distributional analysis of daily record number of times shows submodule, construct a kind of while based on daily record issuing time section sum
The laminar dendrogram of amount grade, user can be intuitive to see according to issuing time and issue quantity and check that situation is issued in daily record；
In mail contact relationship analysis shows submodule, by the network packet that parses and recombinate, complete TCP connection letters can be obtained
Breath, and be shown using stacking dendrogram, enable users to check targeted mails without the forwarding between mailbox clear and intuitively
Situation, to facilitate administrative staff to make corresponding judgement and decision-making；
4th, in distributed denial of service attack data analysis and displaying submodule, being signed based on the time carries out distributed refusal clothes
The extraction of business attack data, and the principle of graphic plotting is proposed, focus is concentrated on the conditioned basic of attack, and is not
Monitoring and display when being attacked after attacker possesses all conditions, and can be to distributed denial of service attack pattern
Carry out various dimensions to show, in addition, the adjustment of time interval, the unit radius parameter of figure shows is carried out according to different demands, carry
The high performance of user mutual.
It should be appreciated that the general description of the above and detailed description hereinafter are only exemplary, this can not be limited
It is open.
Description of the drawings
Fig. 1 is the connection diagram of each module of the invention；
Reference：
Information data excavate module 1, reliable information pretreatment module 2, information storage module 3, based on credible integrality
Information analysis and display module 4, Data Dimensionality Reduction unit 21, data identification unit 22, data sorting unit 23, contact relationship analysis
Show that submodule 41, the distributional analysis of daily record number of times show between submodule 42, IP that information sends relationship analysis and show submodule 43, quick
Sense email relaying path analysis and displaying submodule 44, distributed denial of service attack data analysis and displaying submodule 45.
During accompanying drawing herein is merged in specification and the part of this specification is constituted, show the enforcement for meeting the present invention
Example, and be used for explaining the principle of the present invention together with specification.
Specific embodiment
Below by specific embodiment and combine accompanying drawing the present invention is described in further detail.
Referring to Fig. 1, cloud computing information security visualization system of the present embodiment based on trust computing, including what is be sequentially connected
Information data excavates module 1, reliable information pretreatment module 2, information storage module 3 and the information analysis based on credible integrality
With display module 4；
Described information data-mining module 1, certification carry out the hardware node in the network of information, judge the network hardware
Node credibility, sets up the trusting relationship of gathered information, is obtained by way of capturing network packet in LAN
Original information data, the original information data include between IP sensitive information send detection data, mail-detection daily record data and
Three kinds of data types of distributed denial of service attack data；
The reliable information pretreatment module 2, carries out Data Dimensionality Reduction, identification and pretreatment of classifying to original information data,
Measurable quantized data is formed, the structure for global trust environment provides basis；
Described information memory module 3, will be storage after pretreated information data encryption corresponding to cloud storage resource pool
In position, module, reliable information pretreatment module are excavated by information data and builds jointly trust data platform, and in credible number
Store according to the secure and trusted that data are realized on the basis of platform, build global trust environment；The trust data platform also includes
Trusted software system, the trusted software system are that operating system and application software provide the interface for using trust data platform,
Integrity measurement is provided to the trust data platform subsequent software simultaneously, and the specific behavior to uncontrollable operating system is carried out
Behavior auditing and analysis；The subsequent software includes core loading software and uncontrollable operating system software；Described information data
Excavate module for chain-of-trust starting point, described information data-mining module, reliable information pretreatment module, information storage module and
Information analysis based on credible integrality collectively forms chain-of-trust with display module；
The information analysis based on credible integrality and display module 4, in the trust data platform base for having built
Extraction, analysis and the displaying of information are realized on plinth, visual trust data is provided for administrative staff and figure shows which includes
Mail contact relationship analysis shows that submodule 41, the distributional analysis of daily record number of times show that information sends relation between submodule 42, IP
Analysis shows submodule 43, sensitive email relaying path analysis and shows submodule 44 and distributed denial of service attack data analysis
With show submodule 45, specially：
(1) mail contact relationship analysis shows submodule 41, for the mail-detection day to storing in cloud storage resource pool
Will data carry out extracting, analyze, process, and show the sensitive mail contact relation detected in a certain specified time period；It is described
Mail contact relationship analysis shows that submodule 41 enables users to interact with interface by the calendar that design may be selected the date, uses
Family can arbitrarily select the time period to be checked, concrete to perform following operation：
According to the time period that user selects, system is chosen to the data in cloud storage resource pool, is chosen to after data
Data are stored in the form of dictionary, through data are analyzed with process, according to the transmitting-receiving corresponding relation of sensitive mail
Generate corresponding matrix data model；Subsequently, the transmitting-receiving by the form of chord figure to sensitive mail in the selected time period is closed
System carries out visual presentation, and each different mailbox is distributed in around circle, shows email address in circular outside profile, if
There is the transmission relation of sensitive information between different mailboxes, a ribbon lines are just done between two mailboxes, lines are thick
One side represents the sender of mail, and the thin side of lines represents the recipient of mail；
(2) daily record number of times distributional analysis shows submodule 42, for entering according to time period and the daily record quantity for detecting
Row classification and statistics, and showed with the form of dendrogram, specially：
(2-1) log data set W of reception is divided into into n time subset according to the time period, i.e. W=W1, W2 ...,
Wj ..., Wn }；
(2-2) m daily record quantitative levels are manually set, by each time subset Wj divide m level subset, i.e. W1j,
W2j ..., Wij ..., Wmj, wherein the span of m be [4,8]；
(2-3) with log data set W as root, Wj is the first node layer, and Wij is second layer joint structure tree TW；
(2-5) value of each node in tree TW is calculated, the value of wherein leaf node is the value of the data element, non-
The value of leaf node is equal to the value sum of all child nodes of its lower floor, and so far log data set W has been configured to a tree-shaped
Data structure；
(2-6) dendrogram tree data structure of generation being mapped as on two dimensional surface；
(3) between IP, information sends relationship analysis displaying submodule 43, for being pointed to cloud storage resource pool relevant position
Between IP sensitive information send detection data carry out extracting, analyze, statistical disposition, by visual presentation form and interface alternation exhibition
Show that the sensitive information between IP different in certain period of time sends incidence relation；Between the IP, information sends relationship analysis and shows
Submodule 43 adopts time period selection mechanism and scatterplot layout exhibition method, uses joint form presentation-entity, lines to represent real
Contact between body, represents the degree of strength of information transmission incidence relation between IP, clicks on thing according to mouse with size of node
Part selectively carries out level displaying；Mouse-over occurs the details of correspondent entity, the detailed letter on node
Breath includes ID, discovery time, and mouse is clicked on entity and will select all IP related with selected node, and only display should
Sub-network figure, while the corresponding relation of its transmission information is also shown in the form of word；It is provided with search mechanisms, user simultaneously
The IP related informations that a certain IP selects to want to check can be input into；
(4) sensitive email relaying path analysis and displaying submodule 44, for by analyzing and processing statistics mail-detection day
Detection data and email relaying relation in will data, shows the road that a certain specific mail is forwarded between different mailboxes
Footpath, specially：
First, user is input into the keyword contained by mail header to be searched for or mail header, system in search inframe
Fuzzy matching retrieval is carried out to all of mail header in mail record data according to keyword, if not retrieving defeated with user
Enter the mail for matching, then send information reminding user and re-enter；If being successfully retrieved relative recording, just by retrieval result
User is showed in the form of Table contents, while the title for each mail adds Click events, user clicks on target postal
The title of part, backstage mail according to selected by user enter line retrieval matching again to mail record, find the forwarding record of the mail,
And the article receiving and sending people to each forwarding carries out statistic record in the form of dictionary, constructs the data required for visual presentation；Most
Afterwards, show that the forward-path of mail is presented to user and provides interactive function in the form of dendrogram being laminated with one, if certain postal
Case is afterbody recipient, then the summit of arborescence is hollow display, if this email relaying is also given in addition by the mailbox
One or several mailboxes, then represent the mailbox tree-like node of graph be set to it is solid；
(5) distributed denial of service attack data analysis and displaying submodule 45, for extracting, analyzing and show distributed
Denial of Service attack data, specially：
1) distributed denial of service attack data analysis and displaying submodule 45 are from the relevant position of cloud storage resource pool
Distributed denial of service attack data are extracted, is stored using Hash table, keyword adopts character string forms, word in Hash table
Time of the symbol string by source IP, port numbers and according to selected by the time interval of user's setting is signed three and constitutes, and appoints in this three
The newly-built element of meaning one will be inserted into newly-built element in Hash table when occurring different, and each element is graphical future
All it is a node in expression, represents and the relation between connected main frame, the corresponding value of keyword represents this time in Hash table
Data total amount in connection communication activity；
2) coordinate value of all nodes is calculated, and then the point with coordinate information is drawn, and according to different demands
Time interval, the adjustment of the unit radius parameter of figure shows are carried out, wherein the principle followed when drawing is：Host node is with
Line between heart node represents the size of amount of communication data in the time interval, is mapped according to certain coefficient, and communicate number
Represented with different colours according to amount, color is that red expression amount of communication data is larger；Host node is made up of some concentric circles, face
The port number that the contrast intensity of color is related in represent the connection.
Wherein, the reliable information pretreatment module 2 includes Data Dimensionality Reduction unit 21, data identification unit 22 and data point
Class unit 23, specially：
(1) Data Dimensionality Reduction unit 21, for eliminating superfluous between original information data using improved PCA
It is remaining, the dimension of original information data is reduced, the improved PCA is：
1) N bar original information datas to be analyzed are lifted, as matrix X=[x1,x2,…,xN], wherein xiIt is former for i-th
Beginning information data；
2) solve the mean value of N bar original information datas：
3) solve the covariance matrix M of N bar original information datas：
4) main component element is calculated according to the eigenvalue problem of covariance matrix A：
Aδi=μiδi
Wherein μi, δiThe respectively characteristic value of M and corresponding characteristic vector；
5) according to given precision ρ, by numerical computation method, M eigenvalue of maximum before solving：
Wherein, the span of M is
6) front M eigenvalue of maximum and corresponding characteristic vector are taken, is made
Φ=[δ1,δ2,…,δM], Γ=diag (μ1,μ2,…,μM)
Then there are A Φ=Φ Γ；
7) calculate the new matrix of low-dimensional vector composition；
(2) data identification unit 22, for being identified detection to reducing the original information data after dimension, remove not phase
The information data of pass, obtains relevant information data；
(3) data sorting unit 23, for classifying according to data type to relevant information data.
Wherein, the data identification unit 22 includes being identified distributed denial of service attack data, specially：
1) the K bar original information data matrixes after dimensionality reduction are set as Y '=ΦTX ', wherein X '=[x1,x2,…,xK], xj∈
X ', selects Db3 small echos as analysis wavelet, and selects maximum decomposition scale, carry out wavelet decomposition with decomposition algorithm to Y ' and obtain
To matrix of wavelet coefficients, when j≤out to out, high frequency coefficient is extracted from matrix of wavelet coefficients, calculate the variance of little coefficient
After Ψ, and according to [j, log2Ψ] fitting a straight line tries to achieve slope k, so as to solve the self similar parameter Hurst values of network traffics
H：
H=(k-1)/2；
2) by analyzing the Hurst changing value Δ H=H not in the same time for trying to achievet-Ht-1, threshold T is set, if Δ H ＞
T, judges that distributed denial of service attack occurs, preserves corresponding original information data；If Δ H≤T, distributed refusal clothes are judged
Business is attacked and is not sent, and removes corresponding original information data.
Wherein, the transmitting-receiving corresponding relation of the mail is obtained by the TCP closures for obtaining mail, first by parsing
The network packet of acquisition, obtains including the information of source IP address, purpose IP address, source port, destination interface, sequence number, and
With four-tuple 1：Source IP address, source port, purpose IP address, destination interface and four-tuple 2：Purpose IP address, destination interface, source
IP address, source port indicate the both direction of TCP connections, respectively then by the application layer data of network packet according to sequence
Number sequentially write in journal file corresponding with TCP closures.
Wherein, the Table contents include mail ID, mail header, mail time, mail originator and Email attachment
Number.
The present embodiment arranges Data Dimensionality Reduction unit 21,22 sum of data identification unit in reliable information pretreatment module 2
According to taxon 23, dimensionality reduction, identification and classification are carried out to original information data and is processed, so as to realize depositing different types of data
Store up in the diverse location of cloud storage resource pool, beneficial to the information analysis based on credible integrality with display module 4 to respective counts
According to extraction, further increase the speed of service of system；Using visual technology, it is directed in network security detection system
In the network for capturing, sensitive information type and transmission situation etc. carry out visual displaying, from five different angles to net
Network safety detection data are analyzed and show, it is accurate, comprehensive and facilitate administrative staff make it is corresponding judge and decision-making, carry
The high credible integrity degree of whole system；The distributed denial of service attack data analysis of setting can be right with displaying submodule 45
Distributed denial of service attack pattern carries out various dimensions and shows, facilitates administrative staff to make corresponding judgement and decision-making, improves
The integrity degree of information, improves the confidence level of system from other side；And it is aobvious to carry out time interval, figure according to different demands
The adjustment of the unit radius parameter shown, improves the performance of user mutual；The present embodiment value m=4,The fortune of system
Scanning frequency degree improves 2%.
The preferred embodiments of the present invention are the foregoing is only, the present invention is not limited to, for the skill of this area
For art personnel, the present invention can have various modifications and variations.It is all within the spirit and principles in the present invention, made any repair
Change, equivalent, improvement etc., should be included within the scope of the present invention.
Claims (3)
1. the cloud computing information security visualization system based on trust computing, it is characterised in that including the Information Number being sequentially connected
According to excavation module, reliable information pretreatment module, information storage module and the information analysis based on credible integrality and displaying mould
Block；
Described information data-mining module, certification carry out the hardware node in the network of information, judge network hardware node
Confidence level, sets up the trusting relationship of gathered information, by way of capturing network packet in LAN obtains original
Information data, the original information data include that sensitive information sends detection data, mail-detection daily record data and distribution between IP
Three kinds of data types of formula Denial of Service attack data；
The reliable information pretreatment module, carries out Data Dimensionality Reduction, identification and pretreatment of classifying to original information data, and formation can
The quantized data of tolerance, the structure for global trust environment provide basis；
Described information memory module, by storage after pretreated information data encryption to the corresponding position of cloud storage resource pool
In, module, reliable information pretreatment module are excavated by information data and builds jointly trust data platform, and it is flat in trust data
The secure and trusted storage of data is realized on the basis of platform, global trust environment is built；The trust data platform also includes credible
Software systems, the trusted software system are that operating system and application software provide the interface for using trust data platform, while
Integrity measurement is provided to the trust data platform subsequent software, and the specific behavior to uncontrollable operating system carries out behavior
Audit and analysis；The subsequent software includes core loading software and uncontrollable operating system software；Described information data mining
Module is the starting point of chain-of-trust, described information data-mining module, reliable information pretreatment module, information storage module and is based on
The information analysis of credible integrality collectively forms chain-of-trust with display module；
The information analysis and display module based on credible integrality, for realizing information in the trusted environment for having built
Extracting, analyze and showing, visual trust data being provided for administrative staff and figure showing, which includes mail contact relation
Analysis shows that submodule, the distributional analysis of daily record number of times show that information sends relationship analysis displaying submodule, sensitive postal between submodule, IP
Part forward-path is analyzed and shows submodule and distributed denial of service attack data analysis and show submodule, specially：
(1) mail contact relationship analysis shows submodule, for the mail-detection daily record data to storing in cloud storage resource pool
Carry out extracting, analyze, process, and show the sensitive mail contact relation detected in a certain specified time period；The mail is past
Carry out relationship analysis and show that submodule enables users to interact with interface by the calendar that design may be selected the date, user can be any
The time period to be checked is selected, it is concrete to perform following operation：
According to the time period that user selects, system is chosen to the data in cloud storage resource pool, is chosen to after data with word
The form of allusion quotation is stored to data, through data are analyzed with process, is generated according to the transmitting-receiving corresponding relation of sensitive mail
Corresponding matrix data model；Subsequently, the transmitting-receiving relation of sensitive mail in the selected time period is entered by the form of chord figure
Row visual presentation, each different mailbox are distributed in around circle, show email address in circular outside profile, if different
Mailbox between have the transmission relation of sensitive information, a ribbon lines, the thick side of lines are just between two mailboxes
The sender of mail is represented, and the thin side of lines represents the recipient of mail；
(2) daily record number of times distributional analysis shows submodule, for being classified according to time period and the daily record quantity for detecting
And statistics, and showed with the form of dendrogram, specially：
(2-1) log data set W of reception is divided into into n time subset according to the time period, i.e. W=W1, W2 ..., Wj ...,
Wn}；
(2-2) m daily record quantitative levels are manually set, by each time subset Wj divide m level subset, i.e. W1j,
W2j、…、Wij、…、Wmj；
(2-3) with log data set W as root, Wj is the first node layer, and Wij is second layer joint structure tree TW；
(2-5) value of each node in tree TW is calculated, the value of wherein leaf node is the value of the data element, non-leaf
The value of node is equal to the value sum of all child nodes of its lower floor, and so far log data set W has been configured to a tree type data
Structure；
(2-6) dendrogram tree data structure of generation being mapped as on two dimensional surface；
(3) between IP, information sends relationship analysis and shows submodule, quick between the IP of cloud storage resource pool relevant position for being pointed to
Sense information send detection data carry out extracting, analyze, statistical disposition, shown by visual presentation form and interface alternation certain
Sensitive information in time period between different IP sends incidence relation；Between the IP, information sends relationship analysis displaying submodule
Using time period selection mechanism and scatterplot layout exhibition method, joint form presentation-entity is used, between lines presentation-entity
Contact, represents the degree of strength of information transmission incidence relation between IP, has selection according to mouse click event with size of node
Property carries out level displaying；Mouse-over occurs the details of correspondent entity on node, the details include ID,
Discovery time, mouse are clicked on entity and can select all IP related with selected node；It is provided with search mechanisms simultaneously, uses
Family selects the IP related informations for wanting to check by being input into a certain IP；
The transmitting-receiving corresponding relation of the mail is obtained by the TCP closures for obtaining mail, specially：Obtained by parsing first
Network packet, obtain including the information of source IP address, purpose IP address, source port, destination interface, sequence number, and with
Four-tuple 1 { source IP address, source port, purpose IP address, destination interface } and four-tuple 2：{ purpose IP address, destination interface, source
IP address, source port } both direction that TCP connects is indicated respectively, then by the application layer data of network packet according to sequence
Number sequentially write in journal file corresponding with TCP closures；
(4) sensitive email relaying path analysis and displaying submodule, for by analyzing and processing statistics mail-detection daily record data
In detection data and email relaying relation, show the path that a certain specific mail is forwarded between different mailboxes, tool
Body is：
First, user is input into the keyword contained by mail header to be searched for or mail header in search inframe, system according to
Keyword carries out fuzzy matching retrieval to all of mail header in mail record data, if not retrieving and user input phase
The mail of matching, then send information reminding user and re-enter；If being successfully retrieved relative recording, just by retrieval result with
The form of Table contents shows user, while the title for each mail adds Click events, user clicks on targeted mails
Title, backstage mail according to selected by user again mail record is entered line retrieval matching, find the mail forwarding record, and
Statistic record is carried out in the form of dictionary to the article receiving and sending people of each forwarding, the data required for visual presentation are constructed；Finally,
Show that the forward-path of mail is presented to user and provides interactive function in the form of dendrogram is laminated with one, if certain mailbox is
Afterbody recipient, then the summit of arborescence is hollow display, if this email relaying is also given other one by the mailbox
Individual or several mailboxes, then represent the mailbox tree-like node of graph be set to it is solid；The Table contents include mail ID, mail
Title, mail time, mail originator and Email attachment number；
(5) distributed denial of service attack data analysis and displaying submodule, for extracting, analyzing and showing distributed refusal clothes
Data are attacked in business, specially：
(5-1) distributed denial of service attack data analysis is extracted from the relevant position of cloud storage resource pool with displaying submodule
Distributed denial of service attack data, are stored using Hash table, and in Hash table, keyword adopts character string forms, character string
Time by source IP, port numbers and according to selected by the time interval of user's setting is signed three and constitutes, any one in this three
Item newly-built element will be inserted into newly-built element in Hash table when occurring different, and each element represents one in graphical
Individual node, represents and the relation between connected main frame, and in Hash table, the corresponding value of keyword represents this connection communication activity
In data total amount；
(5-2) coordinate value of all nodes is calculated, and then the point with coordinate information is drawn, and entered according to different demands
The adjustment of row time interval, the unit radius parameter of figure shows, wherein the principle followed when drawing is：Host node and center
Line different colours between node represent the size of amount of communication data in the time interval, are reflected according to certain coefficient
Penetrate；Host node is made up of some concentric circles, the port number that the contrast intensity of color is related in represent the connection.
2. the cloud computing information security visualization system based on trust computing according to claim 1, it is characterised in that institute
Stating reliable information pretreatment module includes Data Dimensionality Reduction unit, data identification unit and data sorting unit, is global trust ring
The structure in border provides basis, specially：
(1) Data Dimensionality Reduction unit, for the redundancy between original information data is eliminated using improved PCA, reduces former
The dimension of beginning information data, specially：
1) N bar original information datas to be analyzed are extracted, as matrix X=[x1,x2..., xN], wherein xiFor i-th original letter
Breath data；
2) solve the mean value of N bar original information datas：
3) solve the covariance matrix A of N bar original information datas：
4) its main component element is calculated according to the characteristic value of covariance matrix A：
Aδi=μiδi
Wherein μi, δiThe respectively characteristic value of A and corresponding characteristic vector；
5) according to given precision ρ, by numerical computation method, M eigenvalue of maximum before solving：
Wherein, the span of M is
6) front M eigenvalue of maximum and corresponding characteristic vector are taken, is made
Φ=[δ1,δ2,…,δM], Γ=diag (μ1,μ2,…,μM)
Then there are A Φ=Φ Γ；
7) calculate the new matrix of low-dimensional vector composition；
(2) data identification unit, for being identified detection to reducing the original information data after dimension, removes incoherent letter
Breath data, obtain relevant information data；
(3) data sorting unit, for classifying according to data type to relevant information data.
3. the cloud computing information security visualization system based on trust computing according to claim 2, it is characterised in that institute
Stating data identification unit includes being identified distributed denial of service attack data, specially：
1) the n bar original information data matrixes after dimensionality reduction are set as Y '=ΦTX ', wherein X '=[x1,x2,…,xn], xj∈ X ', choosing
Db3 small echos are selected as analysis wavelet, and selects maximum decomposition scale, wavelet decomposition is carried out with decomposition algorithm to Y ' and obtains small echo
Coefficient matrix, when j≤out to out, extracts high frequency coefficient from matrix of wavelet coefficients, after calculating variance Ψ of little coefficient, root
According to [j, log2Ψ] fitting a straight line tries to achieve slope k, so as to solve self similar parameter Hurst values H of network traffics：
H=(k-1)/2；
2) by analyzing the Hurst changing value Δ H=H not in the same time for trying to achievet-Ht-1, threshold T is set, if Δ H ＞ T, is judged
Distributed denial of service attack occurs, and preserves corresponding original information data；If Δ H≤T, distributed denial of service attack is judged
Do not send, remove corresponding original information data.
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| CN108090938A (en) * | 2016-11-22 | 2018-05-29 | 北京国双科技有限公司 | A kind of method for exhibiting data and device |
| CN108090101A (en) * | 2016-11-22 | 2018-05-29 | 北京国双科技有限公司 | The method and device of data display |
| CN106599234A (en) * | 2016-12-20 | 2017-04-26 | 深圳飓风传媒科技有限公司 | Data visualization processing method and system based on multidimensional identification |
| CN109587104A (en) * | 2018-02-26 | 2019-04-05 | 新华三信息安全技术有限公司 | A kind of anomalous traffic detection method, device and equipment |
| CN108491452B (en) * | 2018-02-28 | 2021-09-14 | 武汉大学 | Character cloud position configuration method driven by geographic space distribution characteristics |
| CN108964979B (en) * | 2018-06-07 | 2021-05-18 | 成都深思科技有限公司 | Network data stream display system and working method thereof |
| CN109388732B (en) * | 2018-10-16 | 2022-02-25 | 腾讯音乐娱乐科技（深圳）有限公司 | Music map generating and displaying method, device and storage medium |
| CN110147406A (en) * | 2019-05-29 | 2019-08-20 | 深圳市城市屋超科技有限公司 | A kind of visual numeric simulation system and its framework method towards cloud computing |
| US20210117908A1 (en) * | 2019-10-16 | 2021-04-22 | Ciena Corporation | Graph views and models for representing networks and associated inventory |
| CN112134897B (en) * | 2020-09-27 | 2023-04-18 | 奇安信科技集团股份有限公司 | Network attack data processing method and device |
| CN112685756B (en) * | 2020-12-30 | 2021-09-21 | 北京海泰方圆科技股份有限公司 | Data writing and reading method, device, medium and equipment |
| CN113392286B (en) * | 2021-06-11 | 2022-02-11 | 深圳市宏博信息科技有限公司 | Big data information acquisition system |
| CN116027903B (en) * | 2023-01-30 | 2023-09-29 | 中软国际科技服务有限公司 | Computer network security analysis system and method based on big data |
| CN117235761B (en) * | 2023-09-22 | 2024-04-19 | 北京宝联之星科技股份有限公司 | Cloud computing-based data security processing method, system and storage medium |
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| US9218463B2 (en) * | 2014-02-21 | 2015-12-22 | Venafi, Inc. | Trust map management and user interface |
| CN104462995A (en) * | 2014-11-28 | 2015-03-25 | 福建畅云安鼎信息科技有限公司 | Digital processing safety protection system |
| CN104573516B (en) * | 2014-12-25 | 2017-11-28 | 中国科学院软件研究所 | A kind of industrial control system trusted context management-control method and platform based on safety chip |
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