Simulation system and simulation method of social network service malicious code propagation

Abstract

The invention relates to a simulation system and a simulation method of a social network service malicious code propagation model. The method includes that by the aid of a server, a plurality of virtual machines are constructed and connected with one another through networks; a social network chart is generated according to topological data of a social network service; primary infection node information is obtained by means of the calculation of the virtual machines according to a set malicious code primary infection strategy; and new nodes which are infected after once propagation are obtained by means of the calculation of the virtual machines according to a given propagation infection decision rule, successor nodes of primary infection nodes and properties of the nodes, new nodes which are infected by next propagation are obtained according to successor nodes of the new nodes, and such circulation continues until no new nodes are infected after any propagation. According to the simulation system and the simulation method of the social network service malicious code propagation model, various possible variables in the social network service malicious code propagation model are contained, by means of a distributed computation mode, the social network service malicious code propagation model is checked and corrected, and the prevention of the social network service malicious code propagation is greatly facilitated.

Description

Technical field [0001] The invention belongs to the technical field of network security, and specifically relates to a simulation system and a simulation method of a social network malicious code propagation model. Background technique [0002] The large-scale popularity of social networks (Social Network Service, SNS) has made it a target for many criminals, using it as a way to obtain private information and a main platform for the spread of malicious code. According to a survey by the security software company Webroot, users of social networking sites are more likely to encounter security threats such as loss of financial information, theft of identity information, and malware infection. [0003] The malicious code of the social network broke out many times, causing a huge impact: the first SNS worm, the Samy worm, broke out on MySpace in 2005, which infected millions of users within 20 hours; in 2008, Koobface adopted social engineering methods. It quickly broke out on Faceboo...

AI Technical Summary

Problems solved by technology

Although the test bed technology can verify the processing process of a single node, it usually only handles small and medium-sized networks due to the excessive consumption of system resources.

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