Method for identifying virtual malicious nodes and virtual malicious node network in social networks

Abstract

The invention discloses a method for identifying virtual malicious nodes and a virtual malicious node network in social networks. The method includes the following steps: (1) obtaining the attribute data, behavioral data and communication data of unidentified accounts from target social networks; (2) calculating the creditworthiness of each unidentified account according to the credibility model feature vector calculated using the extracted data; (3) making a comparison between the user behavioral habit statistic data of each unidentified account with the credibility being lower than a set threshold value and that of a normal user, and judging whether the unidentified account is a virtual malicious node or not; (4) sorting the virtual malicious node set and establishing association for the virtual malicious node in each sort result, so as to form a virtual malicious node network; then evaluating by using the Bayesian network algorithm to determine the final virtual malicious node network. The method provided by the invention can be used to effectively identify highly-disguised malicious nodes and a collaborative virtual malicious node network.

Description

Technical field [0001] The invention belongs to the technical field of network information security, relates to network security situation awareness and processing technology, and particularly relates to a social network-oriented virtual malicious node and a network identification method thereof. Background technique [0002] With the development of the Internet, social networks have become an important channel and platform for people to communicate in daily life and work. In a broad sense, "social network" refers to a network of relationships composed of human social activities, while the "social network" mentioned in the field of computer science and technology refers to a virtual human relationship network built on the Internet and related network service support platforms, in English The full name is "Social Network Site", and the "social network" involved in the present invention belongs to the latter. Social network users can communicate with friends by publishing informat...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the limited detection types of virtual malicious node identification methods in existing social networks, it is difficult to find high camouflage and cooperative virtual malicious nodes, the present invention discloses a social network-oriented virtual malicious node based on node trust model and behavior habit model. Node and its network identification method and system

The method of the present invention proposes a node trust degree model, and uses the attributes of social network accounts that are difficult to forge as identification features, and solves the detection problems of social network nodes such as cloning camouflage and infection control;

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