[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

CN116436790A - Scene target drone network topology detection method and system in network target range - Google Patents

Scene target drone network topology detection method and system in network target range Download PDF

Info

Publication number
CN116436790A
CN116436790A CN202310213744.0A CN202310213744A CN116436790A CN 116436790 A CN116436790 A CN 116436790A CN 202310213744 A CN202310213744 A CN 202310213744A CN 116436790 A CN116436790 A CN 116436790A
Authority
CN
China
Prior art keywords
network
virtual machine
scene
topology
list
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202310213744.0A
Other languages
Chinese (zh)
Inventor
万先华
谢峥
高庆官
王鹏
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nanjing Cyber Peace Technology Co Ltd
Original Assignee
Nanjing Cyber Peace Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nanjing Cyber Peace Technology Co Ltd filed Critical Nanjing Cyber Peace Technology Co Ltd
Priority to CN202310213744.0A priority Critical patent/CN116436790A/en
Publication of CN116436790A publication Critical patent/CN116436790A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/12Discovery or management of network topologies
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/08Configuration management of networks or network elements
    • H04L41/0866Checking the configuration
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/08Configuration management of networks or network elements
    • H04L41/0895Configuration of virtualised networks or elements, e.g. virtualised network function or OpenFlow elements
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14Network analysis or design
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/08Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • H04L43/0805Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
    • H04L43/0811Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking connectivity
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/10Active monitoring, e.g. heartbeat, ping or trace-route
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/50Reducing energy consumption in communication networks in wire-line communication networks, e.g. low power modes or reduced link rate

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Environmental & Geological Engineering (AREA)
  • Health & Medical Sciences (AREA)
  • Cardiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)

Abstract

The invention discloses a method and a system for detecting network topology of a scene target drone in a network target range, wherein virtual machines, networks and routes to be detected are obtained by analyzing scene data of the network target range; for the virtual machine, in a network naming space where the virtual machine is located on the control node, the IP address of the virtual machine is arping, the mac address of the reply packet is obtained, and the mac address is compared with the allocated mac address to judge whether the configuration of the virtual machine is normal or not; for a network, dispatching to a computing node where a virtual machine in the network is located through rpc, accessing the virtual machine through a serial port, and pinging a gateway address on the virtual machine to judge whether network configuration is normal; for routing, the routing is dispatched to a computing node where a virtual machine in one network is located, the virtual machine is accessed through a serial port, an IP address in the other network is ping on the virtual machine, and whether routing configuration is normal or not is judged. The invention is helpful for network topology verification and network connectivity problem positioning, and greatly improves the working efficiency.

Description

Scene target drone network topology detection method and system in network target range
Technical Field
The invention relates to a method and a system for detecting network topology of a scene target drone in a network target range, belonging to the fields of computer software and network security.
Background
When the network target range starts a scene based on the network topological graph, instantiations of a network, a virtual machine terminal, a switch and a router are performed according to scene configuration data. At present, after the scene is instantiated, whether the scene is initialized is judged according to special applications (for example, whether ports of some services can be connected or not), but whether the scene actually started is consistent with the configuration of a network topological graph or not is not clear, whether the whole topological network can be truly connected or not, and a target aircraft in the topology needs to be detected manually. And when connectivity of the network topology is problematic, the problem investigation is complex and cumbersome.
Disclosure of Invention
The invention aims to: aiming at the problems in the prior art, the invention aims to provide a method and a system for detecting the network topology of a scene target drone in a network target range, which can automatically analyze the network scene topology, acquire the network link state, display the network topology change state and improve the detection efficiency.
The technical scheme is as follows: in order to achieve the aim of the invention, the invention adopts the following technical scheme:
a network topology detection method of a scene target drone in a network target range comprises the following steps:
acquiring network target range scene data, and analyzing to obtain a virtual machine list, a network list and a routing list which need to be detected; the virtual machine list comprises all virtual machines in the scene topology, the network list comprises all networks in the scene topology and virtual machines in the networks, and the route list comprises two different networks connected through a router in the scene topology and virtual machines in the networks;
traversing each virtual machine to be detected in the virtual machine list, in a network naming space where the virtual machine is located on a network shooting range control node, arping the IP address of the virtual machine, acquiring the mac address of a reply packet, and comparing the mac address with the mac address allocated when the virtual machine is created to judge whether the configuration of the virtual machine is normal or not;
traversing each network to be detected in the network list, dispatching to a computing node where a virtual machine in the network is located through rpc, accessing the virtual machine through a serial port, pinging a gateway address of the network on the virtual machine, and judging whether the network configuration is normal according to whether ping is conducted;
traversing each route to be detected in the route list, dispatching the routes to a computing node where a virtual machine in one network is located through rpc, accessing the virtual machine through a serial port, pinging the IP address of the virtual machine in the other network on the virtual machine, and judging whether the configuration of the open circuit is normal according to whether the ping is conducted.
Preferably, when detecting a network or a route, one virtual machine is randomly selected from virtual machines in the network to detect.
Preferably, the mac address acquisition mode allocated at the time of virtual machine creation: and inquiring a virtual machine configuration file through a computing node where the rpc dispatching virtual machine is located, and obtaining a mac address of the virtual machine in the configuration file.
Further, the method further comprises the step of displaying the network link state of the scene topology according to the real-time detection result in the detection process.
A network topology detection system for a scene drone in a network range, comprising:
the task analysis module is used for acquiring the network shooting range scene data and analyzing to obtain a virtual machine list, a network list and a routing list which need to be detected; the virtual machine list comprises all virtual machines in the scene topology, the network list comprises all networks in the scene topology and virtual machines in the networks, and the route list comprises two different networks connected through a router in the scene topology and virtual machines in the networks;
the terminal detection module is used for traversing each virtual machine to be detected in the virtual machine list, and in a network naming space where the virtual machine is located on the network shooting range control node, the IP address of the virtual machine is arping, the mac address of the reply packet is obtained, and the mac address is compared with the mac address allocated when the virtual machine is created to judge whether the configuration of the virtual machine is normal or not;
the network detection module is used for traversing each network to be detected in the network list, scheduling the network to a computing node where a virtual machine in the network is located through rpc, accessing the virtual machine through a serial port, and pinging a gateway address of the network on the virtual machine, and judging whether the network configuration is normal according to whether ping is conducted;
the route detection module is used for traversing each route to be detected in the route list, dispatching the routes to a computing node where a virtual machine in one network is located through rpc, accessing the virtual machine through a serial port, pinging the IP address of the virtual machine in the other network on the virtual machine, and judging whether the configuration of the open circuit route is normal according to whether the ping is conducted.
Preferably, the network detection module or the route detection module randomly selects one virtual machine from the virtual machines in the network to detect when detecting the network or the route.
Preferably, the terminal detection module obtains a mac address allocated during virtual machine creation: and inquiring a virtual machine configuration file through a computing node where the rpc dispatching virtual machine is located, and obtaining a mac address of the virtual machine in the configuration file.
Further, the system also comprises a result display module for displaying the network link state of the scene topology according to the real-time detection result in the detection process.
A computer system comprising a memory, a processor and a computer program stored on the memory and executable on the processor, said computer program implementing the steps of the method for detecting the network topology of a scene drone in a network range when loaded into the processor.
A computer readable storage medium storing a computer program which when executed by a processor performs the steps of the method for detecting a network topology of a scene drone in a network range.
The beneficial effects are that: compared with the prior art, the invention has the following advantages: the invention automatically analyzes the scene network topology, carries out classification detection on the terminal, the network and the route, can acquire the link state of the whole network topology, ensures that the topology and the configuration of the actual starting scene are consistent, is beneficial to network topology verification and network connectivity problem positioning, and greatly improves the working efficiency. The invention can acquire and display the topology change condition of the whole network through the automatic detection of the network link.
Drawings
FIG. 1 is a general flow chart of an embodiment of the present invention.
Fig. 2 is a schematic diagram of a network topology of a range scene.
Fig. 3 is a schematic diagram illustrating detection of a virtual machine terminal in an embodiment of the present invention.
Fig. 4 is a schematic diagram of network detection in an embodiment of the invention.
Fig. 5 is a schematic diagram of route detection in an embodiment of the present invention.
Detailed Description
The technical scheme of the invention will be clearly and completely described below with reference to the accompanying drawings and specific embodiments.
As shown in fig. 1, the method for detecting the network topology of the scene target drone in the network target range disclosed by the embodiment of the invention mainly comprises the steps of task analysis, virtual machine terminal detection, network detection and route detection. The system is used for transmitting scene starting data to an automatic analysis and detection network link service through an interface after a scene is started through the front end of a target range management platform, analyzing the scene data through the service, classifying the scene data, and optimizing and detecting types of terminal detection, network detection and route detection. Analyzing the scene data to obtain a virtual machine list, a network list and a routing list which need to be detected; the virtual machine list comprises all virtual machines in the scene topology, the network list comprises all networks in the scene topology and virtual machines in the networks, and the route list comprises two different networks connected through a router in the scene topology and virtual machines in the networks.
The specific scene data can be xml files or database files which are transmitted to an automatic detection service, a router can be used as a first type tag and record network information under the router during specific analysis, a network switch is a second type tag and records virtual machines under the router, virtual machine terminals are of a third type, the second type network switch can know the virtual machine terminals under the network of the network switch, and can also know the routes of network connection, namely, the network is determined firstly, the virtual machine terminals under each network are detected, then the network is detected for the virtual machines under the network, and then the routes of networks of different network segments under the router connected with the network switch are detected.
In addition, the efficiency can be improved by optimizing the detection, the scenes vm1 and vm2 shown in fig. 2 are connected with the switch s1, the vm2, vm3 and vm4 are connected with the switch s2, after detecting the vm1 and vm2 by the terminal detection method, only one terminal node is needed to be detected for network detection, the network detection is carried out on the vm1, the result is the result of the vm2, and similarly, the network detection is carried out on only one virtual machine, and the detection route is also only needed to be detected by the vm1 and the vm3, so that whether the router connected with the two switches is normal or not is obtained. Therefore, excessive network detection and route detection are not needed for all machines, and the detection efficiency is greatly improved. Each time a network or route is detected, the virtual machine is randomly selected for detection because it is reported in real time.
In all types of network scenarios, except that the virtual machine needs real-time detection; one exchanger is connected with a plurality of virtual machines, and only one virtual machine is required to be subjected to network detection; the two switches are connected through the router, and only one virtual machine is required to be subjected to route detection. The following specifically explains a specific detection method of the virtual machine terminal, the network and the route.
1. Terminal detection method
When a virtual machine is created, for example, when a new network is allocated, a namespace of a corresponding network is created at a network target control node (that is, an OpenStack control node), and a dhcp service of the network is configured, that is, the IP addresses of the respective virtual machines are arping through the network namespaces where the service pairs virtual machines are located, and the mac addresses of the packets are obtained to compare with the mac addresses allocated when the virtual machines are created to detect whether the virtual machine network is normal, as shown in fig. 3.
Virtual machine IP by namespace arping:
ip netns exec qdhcp-f46b1cf0-7d9c-49e3-b8ea-4048ded3566b arping 192.168.1.147
ARPING 192.168.1.147 from 192.168.1.1 tap75f58168-e4
Unicast reply from 192.168.1.147 [FA:16:3E:FD:B4:D9] 1.047ms
Unicast reply from 192.168.1.147 [FA:16:3E:FD:B4:D9] 0.876ms
inquiring the configuration file mac information of the virtual machine through the node where the rpc dispatch is to the virtual machine, and checking the configuration file mac information and the obtained mac address to obtain a result. Profile network interface portion example:
<interface type='bridge'>
<mac address='fa:16:3e:fd:b4:d9'/>
<source bridge='qbr9a7743eb-ad'/>
<target dev='tap9a7743eb-ad'/>
<model type='virtio'/>
<mtu size='1500'/>
<alias name='net0'/>
<address type='pci' domain='0x0000' bus='0x00' slot='0x03' function='0x0'/>
</interface>
and analyzing whether the mac addresses of the two are the same or not so as to obtain a detection result.
2. Network detection method
As shown in fig. 4, the service rpc calls the host where the virtual machine is located, the virtual machine is connected through a serial port, and the gateway address is ping on the virtual machine, if the normal ping rule indicates that the network is on, and vice versa.
3. Route detection method
As shown in fig. 5, the virtual machine is connected through a serial port, and the address crossing the network segment is pinned on the virtual machine.
When the network target field creates the virtual machine, a tcp type control device is created, and the target is pointed to the serial device of the virtual machine.
Namely, serial device configuration examples;
<console type='tcp'>
<source mode='bind' host='0.0.0.0' service='15913' tls='no'/>
<protocol type='telnet'/>
<logfile='/var/lib/nova/instances/f3279ec8-388d-4ebb-904a-61a320f13ba1/console.log' append= 'off'/>
<target type='serial' port='0'/>
<alias name='serial0'/>
</console>
the current network link state is obtained in real time through interval time, and is timely pushed to a front-end page through websocket, and the front-end displays the result.
Based on the same inventive concept, the embodiment of the invention discloses a scene target drone network topology detection system in a network target range, which comprises: the task analysis module is used for acquiring the network shooting range scene data and analyzing to obtain a virtual machine list, a network list and a routing list which need to be detected; the terminal detection module is used for traversing each virtual machine to be detected in the virtual machine list, and in a network naming space where the virtual machine is located on the network shooting range control node, the IP address of the virtual machine is arping, the mac address of the reply packet is obtained, and the mac address is compared with the mac address in a configuration file on a computing node where the virtual machine is located to judge whether the configuration of the virtual machine is normal or not; the network detection module is used for traversing each network to be detected in the network list, scheduling the network to a computing node where a virtual machine in the network is located through rpc, accessing the virtual machine through a serial port, and pinging a gateway address of the network on the virtual machine, and judging whether the network configuration is normal according to whether ping is conducted; the route detection module is used for traversing each route to be detected in the route list, dispatching the routes to a computing node where a virtual machine in one network is located through rpc, accessing the virtual machine through a serial port, pinging the IP address of the virtual machine in the other network on the virtual machine, and judging whether the configuration of the open circuit route is normal according to whether the ping is conducted.
Based on the same inventive concept, the computer system disclosed in the embodiment of the invention comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the computer program realizes the steps of the scene target machine network topology detection method in the network target range when being loaded to the processor.
Based on the same inventive concept, an embodiment of the present invention discloses a computer readable storage medium, where the computer readable storage medium stores a computer program, where the computer program when executed by a processor implements the steps of the method for detecting a network topology of a scene target drone in a network target range.

Claims (10)

1. A method for detecting the network topology of a scene target drone in a network target range is characterized by comprising the following steps:
acquiring network target range scene data, and analyzing to obtain a virtual machine list, a network list and a routing list which need to be detected; the virtual machine list comprises all virtual machines in the scene topology, the network list comprises all networks in the scene topology and virtual machines in the networks, and the route list comprises two different networks connected through a router in the scene topology and virtual machines in the networks;
traversing each virtual machine to be detected in the virtual machine list, in a network naming space where the virtual machine is located on a network shooting range control node, arping the IP address of the virtual machine, acquiring the mac address of a reply packet, and comparing the mac address with the mac address allocated when the virtual machine is created to judge whether the configuration of the virtual machine is normal or not;
traversing each network to be detected in the network list, dispatching to a computing node where a virtual machine in the network is located through rpc, accessing the virtual machine through a serial port, pinging a gateway address of the network on the virtual machine, and judging whether the network configuration is normal according to whether ping is conducted;
traversing each route to be detected in the route list, dispatching the routes to a computing node where a virtual machine in one network is located through rpc, accessing the virtual machine through a serial port, pinging the IP address of the virtual machine in the other network on the virtual machine, and judging whether the configuration of the open circuit is normal according to whether the ping is conducted.
2. The method for detecting the network topology of a scene target in a network target range according to claim 1, wherein when detecting a network or a route, one virtual machine is randomly selected from virtual machines in the network for detection.
3. The method for detecting a scene drone network topology in a network range according to claim 1, wherein the mac address obtaining mode allocated when the virtual machine is created is as follows: and inquiring a virtual machine configuration file through a computing node where the rpc dispatching virtual machine is located, and obtaining a mac address of the virtual machine in the configuration file.
4. The method of claim 1, further comprising displaying network link states of the scene topology during the detecting based on the real-time detection result.
5. A system for detecting a network topology of a scene target drone in a network target range, comprising:
the task analysis module is used for acquiring the network shooting range scene data and analyzing to obtain a virtual machine list, a network list and a routing list which need to be detected; the virtual machine list comprises all virtual machines in the scene topology, the network list comprises all networks in the scene topology and virtual machines in the networks, and the route list comprises two different networks connected through a router in the scene topology and virtual machines in the networks;
the terminal detection module is used for traversing each virtual machine to be detected in the virtual machine list, and in a network naming space where the virtual machine is located on the network shooting range control node, the IP address of the virtual machine is arping, the mac address of the reply packet is obtained, and the mac address is compared with the mac address allocated when the virtual machine is created to judge whether the configuration of the virtual machine is normal or not;
the network detection module is used for traversing each network to be detected in the network list, scheduling the network to a computing node where a virtual machine in the network is located through rpc, accessing the virtual machine through a serial port, and pinging a gateway address of the network on the virtual machine, and judging whether the network configuration is normal according to whether ping is conducted;
the route detection module is used for traversing each route to be detected in the route list, dispatching the routes to a computing node where a virtual machine in one network is located through rpc, accessing the virtual machine through a serial port, pinging the IP address of the virtual machine in the other network on the virtual machine, and judging whether the configuration of the open circuit route is normal according to whether the ping is conducted.
6. The system of claim 5, wherein the network detection module or the route detection module, when detecting the network or the route, randomly selects one virtual machine from the virtual machines in the network for detection.
7. The network topology detection system of a scene drone in a network range according to claim 5, wherein the terminal detection module obtains a mac address allocated during creation of a virtual machine by: and inquiring a virtual machine configuration file through a computing node where the rpc dispatching virtual machine is located, and obtaining a mac address of the virtual machine in the configuration file.
8. The system for detecting network topology of a scene drone in a network range of claim 5, further comprising a result display module for displaying network link states of the scene topology according to results of the real-time detection during the detection.
9. A computer system comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the computer program when loaded onto the processor implements the steps of the method for detecting a network topology of a scene drone in a network range according to any one of claims 1 to 4.
10. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps of the method for detecting a network topology of a scene drone in a network range according to any one of claims 1-4.
CN202310213744.0A 2023-03-08 2023-03-08 Scene target drone network topology detection method and system in network target range Pending CN116436790A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310213744.0A CN116436790A (en) 2023-03-08 2023-03-08 Scene target drone network topology detection method and system in network target range

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310213744.0A CN116436790A (en) 2023-03-08 2023-03-08 Scene target drone network topology detection method and system in network target range

Publications (1)

Publication Number Publication Date
CN116436790A true CN116436790A (en) 2023-07-14

Family

ID=87093370

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310213744.0A Pending CN116436790A (en) 2023-03-08 2023-03-08 Scene target drone network topology detection method and system in network target range

Country Status (1)

Country Link
CN (1) CN116436790A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117331758A (en) * 2023-11-29 2024-01-02 博智安全科技股份有限公司 Verification method and device for target virtual machine mirror image, electronic equipment and storage medium

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117331758A (en) * 2023-11-29 2024-01-02 博智安全科技股份有限公司 Verification method and device for target virtual machine mirror image, electronic equipment and storage medium
CN117331758B (en) * 2023-11-29 2024-02-23 博智安全科技股份有限公司 Verification method and device for target virtual machine mirror image, electronic equipment and storage medium

Similar Documents

Publication Publication Date Title
CN110661669B (en) Network topology automatic discovery method of network equipment based on ICMP, TCP and UDP protocols
CN111431758B (en) Cloud network equipment testing method and device, storage medium and computer equipment
CN102082690B (en) Passive finding equipment and method of network topology
AU2016262640A1 (en) Node de-duplication in a network monitoring system
CN112751733A (en) Link detection method, device, equipment, system and switch
CN113746654A (en) IPv6 address management and flow analysis method and device
CN111263377B (en) Network configuration method, device, equipment and system and distribution network testing method and system
CN110191200A (en) Network Access Method, device, electronic equipment and computer-readable medium
CN116436790A (en) Scene target drone network topology detection method and system in network target range
CN107623752B (en) Network management method and device based on link layer
CN112637377A (en) Method and equipment for detecting IP address conflict
CN107070719B (en) Equipment management method and device
CN114915561A (en) Network topological graph generation method and device
JP7228712B2 (en) Abnormal host monitoring
CN115665006B (en) Follow-up flow detection method and device
CN109151086B (en) Message forwarding method and network equipment
CN115150298B (en) Virtual gateway testing method and device, storage medium and electronic equipment
CN111901179A (en) Method and system for managing Internet of things equipment
CN111010690B (en) Internet of things MME network element signaling tracking method and device
CN114844845B (en) Virtual-real combined network target range wireless real equipment access device, method and system
CN105227420A (en) The processing method of Frame, equipment and system
CN115529245A (en) Stream information completion method and device, cloud host equipment and computer storage medium
CN114079623B (en) Method and device for identifying transmission capacity of user side router
CN117499274A (en) Flow monitoring method, device, equipment and medium based on elastic public network IP
US20130054785A1 (en) Communications path discovery

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination