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The Propagation Of Email Virus In Scale-free Networks

Posted on:2016-03-20Degree:MasterType:Thesis
Country:ChinaCandidate:C X XiangFull Text:PDF
GTID:2308330473465509Subject:Information security
Abstract/Summary:PDF Full Text Request
Currently, Email has become one of the most common communication methods in daily life, while Email virus constitutes one of the major Internet security threats and has attracted considerable attention. Therefore, the research on the spreading models of Email virus has a great significance in preventing and controlling the propagation of Email virus. The main works and contributions are as follows:1. Firstly, considering that the greater degree of node, the more information it gets, its vigilance is stronger, so it is less likely to open the suspicious email. This dissertation proposes an improved Email virus spreading SEIR(Susceptible-Exposed-Infected-Removed) model in heterogeneous networks with consideration of individual vigilance. This paper uses the interaction of Markov chains method to derive the dynamical equations of SEIR model, representing the process of Email virus propagation. Furthermore, Monte-Carlo method is used to explore the basic factors affecting the propagation of Email virus. The simulation results show that the new model considering the individual vigilance performs well and can effectively restrain the propagation of Email virus.2. Secondly, the probability of installing antivirus software is time-varying when the Email virus outbreaks. In addition, the probability of installing antivirus software is also related to the density of infected node. This paper uses the new probability of installing antivirus software that is more in line with the actual. Monte-Carlo method is used to explore the basic factors affecting the propagation of Email virus. The simulation results show that the new SEIR model can reflect the real situlation well.3. Finally, the virus-killing ability of antivirus software is time-varying. In the beginning, affected by the technology, antivirus software cannot kill the virus directly. With the progress of technology, the virus-killing ability of antivirus software becomes stronger. The new SEIR model considers the time-varying virus-killing ability and the results of simulation point out that quick improving virus-killing ability of antivirus can effectively restrain the propagation of Email virus.
Keywords/Search Tags:complex network, Email virus, interaction of Markov chains, SEIR model
PDF Full Text Request
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