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大规模网络的病毒群体免疫模型
引用本文:孙建华,李丽娟,李丁丁,羌卫中.大规模网络的病毒群体免疫模型[J].计算机应用,2007,27(3):580-583.
作者姓名:孙建华  李丽娟  李丁丁  羌卫中
作者单位:湖南大学计算机与通信学院 湖南长沙410082(孙建华,李丽娟,李丁丁),华中科技大学计算机科学与技术学院 湖北武汉430074(羌卫中)
摘    要:由于计算机和Internet的普及,越来越多的人使用邮件,邮件病毒造成了巨大的损失和严重的破坏。传统的度免疫模型有一定的盲目性,没有考虑感染节点的位置,对整个网络中度高的节点进行免疫。把群体概念引入病毒预防控制领域中,提出群体免疫模型,在不同的病毒感染阶段,采用感染群体免疫或健康群体免疫,在降低节点感染密度的同时,把感染节点控制在一定群体内。度免疫无法将病毒控制在某些群体内,从而使得病毒分散在各个群体;而群体免疫能够将病毒集中到感染群体内部。两种免疫模型需要免疫的节点个数和群体感染比率的差别较大,所以群体免疫是原理上不同于度免疫的新型有效的免疫模型。

关 键 词:复杂网络  病毒  免疫  群体
文章编号:1001-9081(2007)03-0580-04
收稿时间:2006-09-18
修稿时间:2006-09-16

A virus immunization model based on community in large scale networks
SUN Jian-hua,LI Li-juan,LI Ding-ding,QIANG Wei-zhong.A virus immunization model based on community in large scale networks[J].journal of Computer Applications,2007,27(3):580-583.
Authors:SUN Jian-hua  LI Li-juan  LI Ding-ding  QIANG Wei-zhong
Affiliation:1. School of Computer and Communication, Hunan University, Changsha Hunan 410082, China; 2. School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan Hubei 430074, China
Abstract:With the development of computers and Internet, more and more people use E-mail. Viruses of E-mail have caused large damages. Traditional intentional immunization based on degree does not take the positions of infected nodes into account, but just protects the nodes which have high degree. The concept of community was introduced into the research of virus and immunization, and an immunization model based on community was proposed. According to the different infection stages of viruses, this model immunized infected communities or health communities. It slowed down the virus spread rate and kept the virus from spreading to more communities. Intentional immunization based on degree can not keep the virus in certain communities, and as a result the infected nodes diffuse in almost all communities. Immunization based on community can keep the virus in certain communities. These two models are different in the number of nodes that need to be protected, and in community infection rate. So, immunization based on community is different from that based on degree in terms of principle, and it is novel and effective.
Keywords:complex networks  virus  immunization  community
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