CN115297036A - IPv6 address intelligent analysis-based network space map drawing method and system - Google Patents
IPv6 address intelligent analysis-based network space map drawing method and system Download PDFInfo
- Publication number
- CN115297036A CN115297036A CN202210964621.6A CN202210964621A CN115297036A CN 115297036 A CN115297036 A CN 115297036A CN 202210964621 A CN202210964621 A CN 202210964621A CN 115297036 A CN115297036 A CN 115297036A
- Authority
- CN
- China
- Prior art keywords
- ipv6 address
- seed
- address
- ipv6
- network space
- 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.)
- Granted
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/10—Active monitoring, e.g. heartbeat, ping or trace-route
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/12—Network monitoring probes
-
- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/50—Reducing 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)
- Health & Medical Sciences (AREA)
- Cardiology (AREA)
- General Health & Medical Sciences (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The application relates to the technical field of internet, in particular to a network space map drawing method and system based on IPv6 address intelligent analysis; the method comprises the following steps: acquiring a seed IPv6 address, performing survival verification on the seed IPv6 address, if the seed IPv6 address is alive, marking the seed IPv6 address as the viable IPv6 address, acquiring the address information of the viable IPv6 address, inputting the address information into a detection model, acquiring a predicted IPv6 address, storing the predicted IPv6 address, taking the predicted IPv6 address as a new seed IPv6 address, and performing network space map drawing based on the viable IPv6 address. The address information of the IPv6 address is used as the detection model parameter, the input parameter is more comprehensive, more predicted IPv6 addresses are favorably detected, and the predicted IPv6 address is used as a new seed IPv6 address for detection, so that the defect of incomplete data volume caused by the defects of huge data volume, quick failure and the like of the IPv6 address is favorably overcome, and a network space map is favorably drawn more comprehensively and accurately.
Description
Technical Field
The application relates to the technical field of internet, in particular to a network space map drawing method and system based on IPv6 address intelligent analysis.
Background
The network space map is a visual map which reflects the geographical position, logical relationship, communication structure and change state of various information entities in the network space based on a series of mapping technologies. The narrow network space map mainly shows the corresponding relation between the network object and the geographic coordinate based on the IP address or the physical node, and emphasizes the attribute of the physical space; the generalized network space map is more three-dimensional, has the characteristics of multiple layers and multiple dimensions, and can organically organize, hierarchically superpose and project information which spans a physical domain, a logical domain and a cognitive domain, such as a transmission network, an IP network, equipment composition, system service, business communication, safety dynamic and even social hotspots, and the like onto the map.
When network space mapping is carried out, asset targets need to be comprehensively detected as much as possible, and due to the fact that IPv6 address data are numerous, only partial IPv6 addresses can be obtained by a traditional manual counting method, and more address information is difficult to count. In the related technology, some algorithms exist for detecting the IPv6 address, such as Pattern-based, entry/IP, 6Gen, improved entry/IP, 6Tree and other address detection technologies, but the address detection technologies in the related technologies all rely on the seed IPv6 address for detection, and if the seed IPv6 address is not enough or there is an IPv6 address that does not exist in the seed IPv6 address, the accuracy of the detected IPv6 address is easily low, so that the network space map is not comprehensive enough.
Disclosure of Invention
In order to facilitate the drawing of the network space map to be more comprehensive and accurate, the application provides a network space map drawing method and system based on IPv6 address intelligent analysis.
In a first aspect, the present application provides a method for drawing a network space map based on IPv6 address intelligent analysis, which adopts the following technical solution:
a network space map drawing method based on IPv6 address intelligent analysis comprises the following steps:
acquiring a seed IPv6 address;
performing survival verification on the seed IPv6 address;
if the seed IPv6 address is alive, marking the seed IPv6 address as an alive IPv6 address;
acquiring the address information of the survival IPv6 address;
inputting the address information into a preset detection model, and acquiring a predicted IPv6 address;
storing the predicted IPv6 address, and taking the predicted IPv6 address as a new seed IPv6 address;
and performing network space mapping based on the survival IPv6 address.
By adopting the technical scheme, after the seed IPv6 address is obtained, the survivability of the seed IPv6 address is verified, the seed IPv6 address with better quality is obtained, the address information of the IPv6 address is used as a detection model parameter, the input parameter is more comprehensive, more predicted IPv6 addresses are favorably detected, the predicted IPv6 address is used as a new seed IPv6 address for detection, the defect of incomplete data amount caused by the defects of huge data amount, fast failure and the like of the IPv6 address is favorably reduced, and the network space map is favorably drawn more comprehensively and accurately.
Optionally, the specific step of performing the survival verification on the seed IPv6 address includes:
acquiring a detection instruction;
scanning the seed IPv6 address based on the detection instruction and generating a scanning result;
and judging whether the seed IPv6 address is alive or not based on the scanning result and a preset survival threshold.
By adopting the technical scheme, the survival verification is carried out on the seed IPv6 address, which is beneficial to improving the accuracy of the seed IPv6 address.
Optionally, the specific steps of scanning the seed IPv6 address based on the detection instruction and generating a scanning result include:
acquiring the target state of the seed IPv6 address;
acquiring a target scanning mode based on the target state;
and scanning the seed IPv6 address based on the scanning instruction and the target scanning mode, and generating a scanning result.
By adopting the technical scheme, the scanning mode is determined according to the target state of the seed IPv6 address, so that the scanning time is greatly saved, and the network space map drawing efficiency is improved.
Optionally, the target state includes whether to perform batch Ping detection; the specific step of acquiring the target scanning mode based on the target state comprises the following steps:
judging whether the seed IPv6 address closes Ping detection or not;
and if the Ping detection is not closed by the seed IPv6 address, taking the first scanning mode as a target scanning mode.
By adopting the technical scheme, the first scanning mode is adopted as the target scanning mode, which is beneficial to acquiring all the survival IPv6 addresses, thereby being beneficial to drawing a network space map more comprehensively and accurately.
Optionally, the method further includes:
and if the Ping detection is closed by the seed IPv6 address, taking the second scanning mode as a target scanning mode.
By adopting the technical scheme, when the Ping detection is closed by the IPv6 address of the seed, the scanning is carried out by adopting a second scanning mode, which is beneficial to saving the scanning time.
Optionally, the specific step of obtaining the address information of the alive IPv6 address includes:
acquiring the address characteristics of the survival IPv6 address;
and binding the survival IPv6 address and the address characteristics as the address information.
By adopting the technical scheme, the IPv6 address and the IPv6 address characteristics are combined to be used as the address information, so that a prediction mode that only the IPv6 address is used as a model parameter in the traditional technology is replaced, the data parameters of a detection model are enriched, and a network space map is drawn more comprehensively and accurately.
Optionally, the method further includes:
and if the seed IPv6 address does not survive, discarding the seed IPv6 address and obtaining the seed IPv6 address again.
By adopting the technical scheme, the information of the non-viable seed IPv6 address is abandoned, so that the detection time is reduced, the quality of the seed IPv6 is improved, and the network space map is drawn more comprehensively and accurately.
In a second aspect, the present application further discloses a network space mapping system based on IPv6 address intelligent analysis, which adopts the following technical scheme:
a network space mapping system based on IPv6 address intelligent analysis comprises:
the first acquisition module is used for acquiring a seed IPv6 address;
the verification module is used for carrying out survival verification on the seed IPv6 address;
the first execution module is used for marking the seed IPv6 address as a survival IPv6 address if the seed IPv6 address is alive;
a second obtaining module, configured to obtain address information of the alive IPv6 address;
the second execution module is used for inputting the address information into a preset detection model and acquiring a predicted IPv6 address;
a third execution module, configured to store the predicted IPv6 address, and use the predicted IPv6 address as a new seed IPv6 address;
and the mapping module is used for mapping the network space based on the survival IPv6 address.
By adopting the technical scheme, after the seed IPv6 address is obtained, the survivability of the seed IPv6 address is verified, the seed IPv6 address with better quality is obtained, the address information of the IPv6 address is used as a detection model parameter, the input parameter is more comprehensive, more predicted IPv6 addresses are favorably detected, the predicted IPv6 address is used as a new seed IPv6 address for detection, the defect of incomplete data quantity caused by the defects of huge data quantity, quick failure and the like of the IPv6 address is favorably reduced, and the network space map is favorably drawn more comprehensively and accurately.
To sum up, the application comprises the following beneficial technical effects:
after the seed IPv6 address is obtained, the survivability of the seed IPv6 address is verified, the seed IPv6 address with better quality is obtained, the address information of the IPv6 address is used as a detection model parameter, the input parameter is more comprehensive, the detection of more predicted IPv6 addresses is facilitated, the predicted IPv6 address is used as a new seed IPv6 address for detection, the defect of incomplete data amount caused by the defects of huge data amount, fast failure and the like of the IPv6 address is facilitated to be reduced, and therefore the network space map is more comprehensively and accurately drawn.
Drawings
Fig. 1 is a main flowchart of a network space mapping method based on IPv6 address intelligent analysis according to an embodiment of the present application;
FIG. 2 is a flowchart illustrating the detailed steps of step S200 in FIG. 1;
FIG. 3 is a flowchart illustrating the detailed steps of step S220 in FIG. 2;
FIG. 4 is a flowchart illustrating the detailed steps of step S222 in FIG. 3;
FIG. 5 is a flowchart illustrating the detailed steps of step S400 in FIG. 1;
fig. 6 is a block diagram of a network space mapping system based on IPv6 address intelligent analysis according to an embodiment of the present application.
Description of reference numerals:
1. a first acquisition module; 2. a verification module; 3. a first execution module; 4. a second acquisition module; 5. a second execution module; 6. a third execution module; 7. and a map drawing module.
Detailed Description
In a first aspect, the application discloses a network space map drawing method based on IPv6 address intelligent analysis.
Referring to fig. 1, a network space mapping method based on IPv6 address intelligent analysis includes steps S100 to S700:
step S100: and acquiring a seed IPv6 address.
Specifically, in this embodiment, IPv6 is an abbreviation of "Internet Protocol Version 6" (Internet Protocol Version 6), and is a next-generation IP Protocol designed by the Internet Engineering Task Force (IETF) to replace IPv 4.
Specifically, in this embodiment, a single or multiple IPv6 addresses may be obtained first through manual collection or the like.
Step S200: and performing survival verification on the seed IPv6 address.
Specifically, in this embodiment, a detection tool such as Nmap may be used to perform liveness verification on the seed IPv6 address. Nmap, i.e. Network Mapper, is a Network connection scanning software for scanning the open Network connections of the computers on the Network and determining which services are running on which connections, and deducing which operating system (this is also called finger printing) the computer is running.
Step S300: if the seed IPv6 address is alive, the seed IPv6 address is marked as the alive IPv6 address.
Specifically, in this embodiment, the survival of the seed IPv6 address means that the seed IPv6 address is an effective address.
Step S400: and acquiring the address information of the surviving IPv6 address.
Specifically, in this embodiment, the address information of the surviving IPv6 address includes the surviving IPv6 address and the address characteristics of the surviving IPv6 address.
Step S500: and inputting the address information into a preset detection model, and acquiring a predicted IPv6 address.
Specifically, in this embodiment, the preset detection model may be a bayesian prediction model. The Bayesian predictive model is a prediction using Bayesian statistics. Bayesian statistics is different from general statistical methods, which not only make use of model information and data information, but also make full use of prior information. And comparing the prediction results of the Bayes prediction model and the common regression prediction model by an empirical analysis method, wherein the result shows that the Bayes prediction model has obvious superiority.
Specifically, in this embodiment, predicting the IPv6 address refers to the IPv6 address detected after address information is input as a model input parameter into a preset detection model.
Step S600: and saving the predicted IPv6 address, and taking the predicted IPv6 address as a new seed IPv6 address.
Specifically, in this embodiment, the predicted IPv6 address is set as a new seed IPv6 address, and step S200 to step S500 are repeatedly executed.
Step S700: and mapping the network space based on the survival IPv6 address.
According to the network space map drawing method based on IPv6 address intelligent analysis, after the seed IPv6 address is obtained, the survivability of the seed IPv6 address is verified, the seed IPv6 address with good quality is obtained, the address information of the IPv6 address is used as the detection model parameter, the input parameter is more comprehensive, more predicted IPv6 addresses are favorably detected, the predicted IPv6 address is used as a new seed IPv6 address for detection, the defect of incomplete data volume caused by the defects of huge data volume, high failure speed and the like of the IPv6 address is favorably reduced, and therefore the network space map is favorably drawn more comprehensively and accurately.
Referring to fig. 2, in one implementation manner of this embodiment, the specific step of step S200 includes steps S210 to S230:
step S210: and acquiring a detection instruction.
Step S220: and scanning the seed IPv6 address based on the detection instruction and generating a scanning result.
Specifically, in this embodiment, the scan result includes that the seed IPv6 address is alive and/or the seed IPv6 address is not alive.
Step S230: and judging whether the seed IPv6 address is alive or not based on the scanning result and a preset survival threshold.
Specifically, in this embodiment, the preset survival threshold is a criterion for judging the survival of the seed IPv6 address.
In the network space map drawing method based on IPv6 address intelligent analysis provided by this embodiment, an operator scans a seed IPv6 address by inputting a corresponding scanning instruction, generates a scanning result, and determines whether the seed IPv6 address is alive according to the scanning result and a survival threshold, thereby facilitating improvement of accuracy of the seed IPv6 address.
Referring to fig. 3, in one implementation of the present embodiment, the specific step of step S220 includes steps S221 to S223:
step S221: and acquiring the target state of the seed IPv6 address.
Specifically, in this embodiment, the target state of the seed IPv6 address includes whether to perform batch Ping detection.
Step S222: and acquiring a target scanning mode based on the target state.
Specifically, in this embodiment, the target scanning mode is the scanning mode that is finally executed.
Step S223: and scanning the seed IPv6 address based on the scanning instruction and the target scanning mode, and generating a scanning result.
According to the network space map drawing method based on the IPv6 address intelligent analysis, the target state of the seed IPv6 address is obtained firstly, and then the seed IPv6 address is scanned according to the target state and the scanning instruction, so that the scanning time is greatly saved, and the network space map drawing efficiency is improved.
Referring to fig. 4, in one implementation manner of this embodiment, the specific step of step S222 includes steps S2221 to S2222:
step S2221: and judging whether the Ping detection is closed by the seed IPv6 address.
Step S2222: and if the Ping detection is not closed by the seed IPv6 address, taking the first scanning mode as a target scanning mode.
Specifically, in this embodiment, the first scanning manner refers to directly scanning the seed IPv6 addresses in batch.
In one implementation manner of this embodiment, the specific step of step S222 includes step S2223:
step S2223: and if the Ping detection is closed by the seed IPv6 address, taking the second scanning mode as a target scanning mode.
Specifically, in this embodiment, the second scanning mode refers to a scanning mode skipping Ping detection, that is, skipping Ping detection in the first scanning mode.
Specifically, in this embodiment, it may also be determined whether a message needs to be sent to the seed IPv6 address, and if the message does not need to be sent to the seed IPv6 address, only each IPv6 address on the designated network segment needs to be listed, and then relative adjustment may be performed based on the first scanning mode or the second scanning mode.
According to the network space map drawing method based on the IPv6 address intelligent analysis, the seed IPv6 addresses are scanned in different scanning modes through different target states, so that the method is not only beneficial to obtaining all the surviving IPv6 addresses, and is further beneficial to drawing the network space map more comprehensively and accurately, but also beneficial to saving scanning time, and further improving the efficiency of drawing the network space map.
Referring to fig. 5, in one implementation manner of this embodiment, the specific step of step S400 includes steps S410 to S420:
step S410: and acquiring the address characteristics of the surviving IPv6 address.
Specifically, in this embodiment, the address characteristics include characteristic information of a target corresponding to the alive IPv6 address, for example, when the target corresponding to the alive IPv6 address is a website, the address characteristics include a website certificate, an icp and a domain name, and a component and a protocol associated with the website, and the like.
Step S420: and binding the survival IPv6 address and the address characteristics as address information.
Specifically, in this embodiment, the address information is formed by binding the surviving IPv6 address and the address feature, and the address information formed by the combination is used as the model input parameter of the detection model.
According to the method for drawing the network space map based on the IPv6 address intelligent analysis, the IPv6 address and the IPv6 address characteristics are combined to serve as the address information, so that a prediction mode that only the IPv6 address is used as a model parameter in the traditional technology is replaced, the data parameters of a detection model are enriched, and the network space map is drawn more comprehensively and accurately.
In one implementation manner of this embodiment, a network space mapping method based on IPv6 address intelligent analysis further includes step S300A:
step S300A: and if the seed IPv6 address does not survive, discarding the seed IPv6 address and re-acquiring the seed IPv6 address.
Specifically, in this embodiment, the information of the non-viable seed IPv6 address is discarded, which is beneficial to reducing the detection time and improving the quality of the seed IPv6, so that the network space map is more comprehensively and accurately drawn.
The implementation principle of the network space map drawing method based on IPv6 address intelligent analysis in the embodiment of the application is as follows: acquiring a seed IPv6 address, performing survival verification on the seed IPv6 address, if the seed IPv6 address does not survive, abandoning the seed IPv6 address, and acquiring the seed IPv6 address again; if the seed IPv6 address is alive, the seed IPv6 address is marked as the alive IPv6 address, the address information of the alive IPv6 address is obtained, the address information is input into a preset detection model, a predicted IPv6 address is obtained, the predicted IPv6 address is stored and serves as a new seed IPv6 address, network space map drawing is conducted on the basis of the alive IPv6 address, the address information of the IPv6 address serves as a detection model parameter to be used, the input parameter is more comprehensive, the detection of more predicted IPv6 addresses is facilitated, the predicted IPv6 address serves as a new seed IPv6 address to be detected, the defect of incomplete data volume caused by the defects of huge data volume, fast failure and the like of the IPv6 address is facilitated to be reduced, and therefore the network space map drawing is facilitated to be more comprehensive and accurate.
In a second aspect, the application also discloses a network space mapping system based on IPv6 address intelligent analysis.
Referring to fig. 6, a network space mapping system based on IPv6 address intelligent analysis includes:
the first acquisition module is used for acquiring a seed IPv6 address;
the verification module is used for carrying out survival verification on the seed IPv6 address;
the first execution module is used for marking the seed IPv6 address as a survival IPv6 address if the seed IPv6 address is alive;
the second acquisition module is used for acquiring the address information of the survival IPv6 address;
the second execution module is used for inputting the address information into a preset detection model and acquiring a predicted IPv6 address;
the third execution module is used for storing the predicted IPv6 address and taking the predicted IPv6 address as a new seed IPv6 address;
and the mapping module is used for mapping the network space based on the survival IPv6 address.
The implementation principle of the network space map drawing system based on IPv6 address intelligent analysis in the embodiment of the application is as follows: the method comprises the steps that a first obtaining module obtains a seed IPv6 address and sends the seed IPv6 address to a verification module, the verification module conducts survival verification on the seed IPv6 address, when the seed IPv6 address is alive, the verification module sends a verification result to a first execution module, the first execution module marks the surviving seed IPv6 address as a surviving IPv6 address and sends the surviving IPv6 address to a second obtaining module, the second obtaining module obtains address information of the surviving IPv6 address and sends the address information to a second execution module, the second execution module inputs the address information into a preset detection model to obtain a predicted IPv6 address and sends the predicted IPv6 address to a third execution module, the third execution module stores the predicted IPv6 address and uses the predicted IPv6 address as a new seed IPv6 address and then sends the predicted IPv6 address to a map drawing module, and the map drawing module conducts network space map drawing based on the IPv6 address, and therefore the technical effect the same as that of the network space map drawing method based on IPv6 address intelligent analysis is achieved.
The above embodiments are preferred embodiments of the present application, and the protection scope of the present application is not limited by the above embodiments, so: all equivalent changes made according to the structure, shape and principle of the present application shall be covered by the protection scope of the present application.
Claims (8)
1. A network space map drawing method based on IPv6 address intelligent analysis is characterized by comprising the following steps:
acquiring a seed IPv6 address;
performing survival verification on the seed IPv6 address;
if the seed IPv6 address is alive, marking the seed IPv6 address as an alive IPv6 address;
acquiring the address information of the survival IPv6 address;
inputting the address information into a preset detection model, and acquiring a predicted IPv6 address;
storing the predicted IPv6 address, and taking the predicted IPv6 address as a new seed IPv6 address;
and drawing a network space map based on the survival IPv6 address.
2. The method for mapping a network space based on IPv6 address intelligent analysis according to claim 1, wherein the step of performing the survival verification on the seed IPv6 address includes:
acquiring a detection instruction;
scanning the seed IPv6 address based on the detection instruction and generating a scanning result;
and judging whether the seed IPv6 address is alive or not based on the scanning result and a preset survival threshold.
3. The method for mapping the network space based on the IPv6 address intelligent analysis according to claim 2, wherein the specific steps of scanning the seed IPv6 address based on the detection instruction and generating a scanning result include:
acquiring the target state of the seed IPv6 address;
acquiring a target scanning mode based on the target state;
and scanning the seed IPv6 address based on the scanning instruction and the target scanning mode, and generating a scanning result.
4. The method for mapping the network space based on the intelligent analysis of the IPv6 address as claimed in claim 3, wherein the target state comprises whether to perform batch Ping detection; the specific step of acquiring the target scanning mode based on the target state comprises the following steps:
judging whether the seed IPv6 address closes Ping detection or not;
and if the Ping detection is not closed by the seed IPv6 address, taking the first scanning mode as a target scanning mode.
5. The method for mapping the network space based on the intelligent analysis of the IPv6 address as claimed in claim 3, further comprising:
and if the Ping detection is closed by the seed IPv6 address, taking the second scanning mode as a target scanning mode.
6. The method according to claim 1, wherein the step of obtaining the address information of the viable IPv6 addresses comprises:
acquiring the address characteristics of the survival IPv6 address;
and binding the survival IPv6 address and the address characteristics as the address information.
7. The method for mapping the network space based on the intelligent analysis of the IPv6 address as claimed in claim 3, further comprising:
and if the seed IPv6 address does not survive, discarding the seed IPv6 address and obtaining the seed IPv6 address again.
8. A network space mapping system based on IPv6 address intelligent analysis is characterized by comprising:
the first acquisition module is used for acquiring a seed IPv6 address;
the verification module is used for carrying out survival verification on the seed IPv6 address;
the first execution module is used for marking the seed IPv6 address as a survival IPv6 address if the seed IPv6 address is alive;
a second obtaining module, configured to obtain address information of the alive IPv6 address;
the second execution module is used for inputting the address information into a preset detection model and acquiring a predicted IPv6 address;
a third execution module, configured to store the predicted IPv6 address, and use the predicted IPv6 address as a new seed IPv6 address;
and the mapping module is used for mapping the network space based on the survival IPv6 address.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210964621.6A CN115297036B (en) | 2022-08-12 | 2022-08-12 | IPv6 address intelligent analysis-based network space map drawing method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210964621.6A CN115297036B (en) | 2022-08-12 | 2022-08-12 | IPv6 address intelligent analysis-based network space map drawing method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115297036A true CN115297036A (en) | 2022-11-04 |
| CN115297036B CN115297036B (en) | 2023-09-05 |
Family
ID=83828635
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210964621.6A Active CN115297036B (en) | 2022-08-12 | 2022-08-12 | IPv6 address intelligent analysis-based network space map drawing method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115297036B (en) |
Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7752665B1 (en) * | 2002-07-12 | 2010-07-06 | TCS Commercial, Inc. | Detecting probes and scans over high-bandwidth, long-term, incomplete network traffic information using limited memory |
| EP2154872B1 (en) * | 2008-08-14 | 2018-10-03 | Samsung Electronics Co., Ltd. | Method and system for handling a dynamic host configuration protocol internet protocol version 4 address release |
| CN110557286A (en) * | 2019-09-02 | 2019-12-10 | 南京航空航天大学 | Method for effectively measuring and constructing IPv6 network topology |
| CN111901201A (en) * | 2020-07-30 | 2020-11-06 | 中国电子信息产业集团有限公司第六研究所 | IPv6 network topology measurement target selection method |
| CN112887141A (en) * | 2021-01-25 | 2021-06-01 | 北京华顺信安信息技术有限公司 | Topological graph generated based on network space mapping and path display method thereof |
| CN112995352A (en) * | 2019-12-17 | 2021-06-18 | 北京白帽汇科技有限公司 | IPv6 network space mapping system and mapping method based on traffic analysis |
| CN113282805A (en) * | 2021-06-24 | 2021-08-20 | 中国人民解放军国防科技大学 | IPv6 address pattern mining method and device, electronic equipment and storage medium |
| US20210281543A1 (en) * | 2020-03-09 | 2021-09-09 | Tsinghua University | DYNAMIC Ipv6 ADDRESS PROBING METHOD BASED ON DENSITY |
| CN113382092A (en) * | 2021-04-27 | 2021-09-10 | 清华大学 | Active address detection method and device based on graph community discovery |
| CN113630482A (en) * | 2021-08-23 | 2021-11-09 | 南京莱克贝尔信息技术有限公司 | IPv6 rapid detection method based on hidden semi-Markov |
| CN113746947A (en) * | 2021-07-15 | 2021-12-03 | 清华大学 | IPv6 active address detection method and device based on reinforcement learning |
| CN113949690A (en) * | 2020-07-17 | 2022-01-18 | 奇安信科技集团股份有限公司 | IPv6 seed address sampling method, device, equipment and storage medium |
| CN114297941A (en) * | 2021-10-22 | 2022-04-08 | 北京邮电大学 | Distributed active IPv6 address prediction method and related equipment |
| CN114448696A (en) * | 2022-01-26 | 2022-05-06 | 北京华顺信安科技有限公司 | Method and system for inquiring and analyzing network detection behavior data |
-
2022
- 2022-08-12 CN CN202210964621.6A patent/CN115297036B/en active Active
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7752665B1 (en) * | 2002-07-12 | 2010-07-06 | TCS Commercial, Inc. | Detecting probes and scans over high-bandwidth, long-term, incomplete network traffic information using limited memory |
| EP2154872B1 (en) * | 2008-08-14 | 2018-10-03 | Samsung Electronics Co., Ltd. | Method and system for handling a dynamic host configuration protocol internet protocol version 4 address release |
| CN110557286A (en) * | 2019-09-02 | 2019-12-10 | 南京航空航天大学 | Method for effectively measuring and constructing IPv6 network topology |
| CN112995352A (en) * | 2019-12-17 | 2021-06-18 | 北京白帽汇科技有限公司 | IPv6 network space mapping system and mapping method based on traffic analysis |
| US20210281543A1 (en) * | 2020-03-09 | 2021-09-09 | Tsinghua University | DYNAMIC Ipv6 ADDRESS PROBING METHOD BASED ON DENSITY |
| CN113949690A (en) * | 2020-07-17 | 2022-01-18 | 奇安信科技集团股份有限公司 | IPv6 seed address sampling method, device, equipment and storage medium |
| CN111901201A (en) * | 2020-07-30 | 2020-11-06 | 中国电子信息产业集团有限公司第六研究所 | IPv6 network topology measurement target selection method |
| CN112887141A (en) * | 2021-01-25 | 2021-06-01 | 北京华顺信安信息技术有限公司 | Topological graph generated based on network space mapping and path display method thereof |
| CN113382092A (en) * | 2021-04-27 | 2021-09-10 | 清华大学 | Active address detection method and device based on graph community discovery |
| CN113282805A (en) * | 2021-06-24 | 2021-08-20 | 中国人民解放军国防科技大学 | IPv6 address pattern mining method and device, electronic equipment and storage medium |
| CN113746947A (en) * | 2021-07-15 | 2021-12-03 | 清华大学 | IPv6 active address detection method and device based on reinforcement learning |
| CN113630482A (en) * | 2021-08-23 | 2021-11-09 | 南京莱克贝尔信息技术有限公司 | IPv6 rapid detection method based on hidden semi-Markov |
| CN114297941A (en) * | 2021-10-22 | 2022-04-08 | 北京邮电大学 | Distributed active IPv6 address prediction method and related equipment |
| CN114448696A (en) * | 2022-01-26 | 2022-05-06 | 北京华顺信安科技有限公司 | Method and system for inquiring and analyzing network detection behavior data |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115297036B (en) | 2023-09-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109033471B (en) | Information asset identification method and device | |
| CN111695697A (en) | Multi-party combined decision tree construction method and device and readable storage medium | |
| CN111368901A (en) | Multi-party combined modeling method, device and medium based on federal learning | |
| CN110661669A (en) | Network topology automatic discovery method of network equipment based on ICMP, TCP and UDP protocols | |
| US20080320119A1 (en) | Automatically identifying dynamic Internet protocol addresses | |
| CN112020862B (en) | Method, system, and computer-readable storage medium for identifying devices on a remote network | |
| CN112215357A (en) | Model optimization method, device, equipment and computer readable storage medium | |
| CN105550248A (en) | User information mining method and apparatus | |
| CN112579754A (en) | Intelligent robot conversation interaction method and device, and computer equipment | |
| CN111371914A (en) | IP library generation method, domain name resolution method, electronic device and readable storage medium | |
| US9087299B2 (en) | Inferring connectivity in the presence of conflicting network data | |
| CN107534646A (en) | For determine DNS packet whether be malice extraction data classification | |
| CN115297036A (en) | IPv6 address intelligent analysis-based network space map drawing method and system | |
| CN112600689A (en) | Network topology generation method and device and computer equipment | |
| CN109144989B (en) | Data cleaning method and device | |
| CN115314419B (en) | Cloud network-oriented self-adaptive connectivity analysis method, system, equipment and storage medium | |
| CN1801770A (en) | Topology finding method and system in SIP network | |
| CN105721885B (en) | Method, device and system for processing transcoding data | |
| CN112613887B (en) | Customer relationship management method and system based on big data | |
| CN114900835A (en) | Malicious traffic intelligent detection method and device and storage medium | |
| CN112702441A (en) | Container-based access data processing method, device and system and storage medium | |
| CN115883513A (en) | Resolver detection method based on DNS watermark technology and classification method thereof | |
| CN114785625B (en) | Method, device and system for processing bill charging | |
| CN112995359B (en) | Network identity traceability system and method based on DNS | |
| CN115378912B (en) | Scanning method and system for active IPv6 address |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |