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Research On The Propagation Behaviors Of Worms In Complex Networks

Posted on:2012-05-13Degree:MasterType:Thesis
Country:ChinaCandidate:L J BaiFull Text:PDF
GTID:2178330335973668Subject:Radio Physics
Abstract/Summary:PDF Full Text Request
Internet has become one of the most useful tools of social.It has changed people's lifestyles and ways of working. The Internet is a sign of human access to the information society because of its openness, superiority and practicality. Internet provides conveniently various information and services to people, meanwhile, it also gives favorable conditions for the dissemination and spread of malicious code. Wanton spread of malicious code has caused a serious security threat to networks and affected severely the life and work of people. the most serious damage is caused by worms. Internet topology is very complex, making the propagation of worms different. This article researches mainly the worm propagation behavior of complex networks.This article studies the question which the worm propagation behavior of the complex networks based the classic epidemic model. The paper is divided into four parts. The first part introduces the basic theory of complex networks, focusing on the basic description of several complex network models. The second part describes in detail the classical epidemic model, on this basis, analyses the epidemic threshold of worms in complex networks using the theory of epidemic threshold in complex networks. The third part analyses the epidemic behavior of worms in complex networks and mobile networks using SIR model and SIS model respectively. The epidemic behavior of worms in complex networks is divided into three phases, and proposed the corresponding propagation model of each phases. The epidemic behavior of worms in mobile networks is affected by the density of nodes, the speed of nodes and the probability of node's long-distance movement, and proposed the corresponding models. The fourth part simulates the propagation of worms in e-mail networks and wireless networks using SIS model and the SIR model respectively, and analyses the experimental results.
Keywords/Search Tags:Internet, network topology, small world network, scale-free network, worm propagation
PDF Full Text Request
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