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Research On Spread Model And Immune Strategy In Complex Networks

Posted on:2014-06-12Degree:MasterType:Thesis
Country:ChinaCandidate:H JiangFull Text:PDF
GTID:2180330422990407Subject:Computer Science and Technology
Abstract/Summary:PDF Full Text Request
Complex network is a hot research field in recent years and the spread ofthe dynamics research in complex networks has been widely researched. Theepidemic spread and rumor spread are two main propagation behaviors. Withthe growth of Internet and widespreads popularity, the growth of virus is alsobecoming frequently which brings huge threats to our society and computernetwork.Those lead to the great demands of the study of virus spread in computernetwork and some related researchers have found that the study of epidemicspread in complex network can be used to study the propagation behavior ofvirus in computer network. This brings new method and thougth to do theresearch in the study of virus spread. Through studying the spread of virus, wecan put forward respondly method to control the virus spread that has greatpractical significants in reducing the damages to computer network and oursociety.This paper mainly introduced the related concepts of complex network andillustrated several models of complex network. It also stated severalpropagation models and analysed the threshold of SIS model on bothhomogeneous network and Heterogeneous networks. Then we put forward amore realistic propagation model called environment-aware SIS model andcompared it with the SIS model in both BA scale-free model and WS smallworld network. The main results are list follow.First, we put forward a more realistic virus propagation model which iscalled environment-aware SIS model. The model is get from the standard SISmodel and the main difference between them is that the propagation intensiveof the new SIS model varies with the density of infected nodes around currentnode.Second, we proposed an immune strategy based on expected infection timeand it is an immune method just needing local information. Through theoryanalysis and simulations, we show that the new immune method is effective. Finally, we concluded the work we have done and analysed thedeficiencies that need further researches.
Keywords/Search Tags:complex network, virus spread, immune strategy
PDF Full Text Request
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