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计算机网络病毒传播的概率模型

Probabilistic Model for Virus Spread in Computer Networks
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摘要 研究网络拓扑对病毒传播的影响。提出在双星图上计算固定概率(病毒成功蔓延整个网络的概率)的数值方法,并成功将其转化为求解线性方程组的问题。通过仿真发现:1)双星网络越不平衡,病毒越容易在其中蔓延;2)让网络规模趋于无穷大,固定概率收敛。固定概率还可以简单地作为判断双星网络是否安全可信的参考指标。 This paper is concerned with the way in which a network topology affects computer virus spread. A numerical method is presented for finding the fixation probabilities, i. e. , the probabilities of the event that virus could successfully spread over the entire network, on a two- star diagraph (TSD) by converting this task to solving a linear system. By numerical simulation, the following phenomena are observed: 1 ) The more unbalanced a TSD is,the more likely virus is to spread over it. 2) Let the network size tend to infinity,the fixation probability on a TSD converges. Moreover, the fixation probability can simply be used to assess the safety and reliability of a two-star network.
出处 《世界科技研究与发展》 CSCD 2012年第3期419-422,共4页 World Sci-Tech R&D
基金 国家自然科学基金(10771227) 国家教育部新世纪优秀人才计划(NCET-05-0759) 中央高校基本科研业务费(CDJXS10181130)资助
关键词 病毒传播 概率模型 网络拓扑 双星图 virus spread probabilistic model network topology two-star digraph
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参考文献12

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