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Network positioning method and system based on probabilistic topic model

A technology of probabilistic topic model and network positioning, applied in the direction of probabilistic network, based on specific mathematical model, transmission system, etc., can solve the problem of low positioning accuracy of IP positioning method

Active Publication Date: 2022-04-12
PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a network positioning method and system based on a probabilistic topic model to solve the problem of low positioning accuracy of the IP positioning method

Method used

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  • Network positioning method and system based on probabilistic topic model
  • Network positioning method and system based on probabilistic topic model
  • Network positioning method and system based on probabilistic topic model

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Experimental program
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Embodiment Construction

[0034] Such as figure 1 As shown, a network localization method based on probabilistic topic model includes the following steps:

[0035] (1) Use the IP positioning method to obtain the positioning result of the network entity, use the center point in the network positioning result as the buffer center point coordinates, build a buffer zone with the error range as the radius, and determine the preliminary spatial distribution range of the network entity;

[0036] (2) Use the topic classification model to extract the corresponding high-frequency vocabulary from the text information corresponding to the network entity, and perform topic classification, and then perform reverse derivation to obtain the topic corresponding to the high-frequency vocabulary;

[0037] (3) Classify the corresponding theme according to the high-frequency vocabulary, and match it with the divided feature category;

[0038] (4) Determine the feature type to which the network entity belongs;

[0039] (5...

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Abstract

The present invention relates to a network positioning method and system based on a probabilistic topic model. First, the IP positioning method is used to obtain the positioning result of the network entity, and the preliminary spatial distribution range of the network entity is determined; and then the topic classification model is used to extract the corresponding text information of the network entity Corresponding high-frequency vocabulary, and obtain the topic corresponding to the high-frequency vocabulary; then determine the type of feature to which the network entity belongs; finally, overlay the buffer zone with the geographic layer, and retrieve the feature in the buffer zone to which the network entity belongs , realize the network positioning according to the obtained object position. To a certain extent, this positioning method can reduce the positioning range of network entities, reduce the spatial distribution range of original positioning results, effectively optimize IP positioning results, and realize further optimization of network positioning results.

Description

technical field [0001] The invention relates to a network positioning method and system based on a probability topic model. Background technique [0002] At present, the Internet has brought great convenience to people in all aspects of work, life, entertainment, etc., but at the same time it has also provided new ways for illegal activities such as cybercrime and spreading rumors on the Internet. For example, on May 12, 2017, the WannaCry ransomware virus that spread globally swept across 200,000 computers in at least 150 countries, causing huge losses to people. Therefore, combating cybercrime has become particularly urgent, and determining the geographic location of cybercriminals or cyberattack sources can provide important help for law enforcement agencies to catch criminals. Currently, on the Internet, IP addresses are usually used to determine the geographic location of networked devices or users, which is also often referred to as IP positioning. Mapping and associ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/35G06N7/00H04L101/69
CPCH04L2101/69G06N7/01
Inventor 周杨张龙徐青吕亮施群山张衡蓝朝桢陈安东胡校飞赵海鹏
Owner PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU