大规模网络中基于社区的病毒免疫模型

Jianhua Sun, Jizha Qin, Shu Chen, Hao Chen, Dingding Li
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引用次数: 2

摘要

随着计算机和互联网的发展,越来越多的人使用电子邮件。电子邮件病毒造成了很大的损害。传统的基于节点度的有意免疫没有考虑到感染节点的位置,只对感染程度高的节点进行保护。将社区概念引入病毒与免疫研究领域,提出了基于社区的免疫模型。该模型根据病毒感染的不同阶段,对感染社区或健康社区进行免疫接种,减缓了病毒的传播速度,防止病毒向更多社区传播。程度免疫不能将病毒控制在部分社区,导致感染节点扩散到几乎所有社区。社区免疫可以使病毒保持在一定数量的社区内。这两种模型在感染群体和感染媒介的比例上有所不同。综上所述,社区免疫完全不同于程度免疫,是一种新颖有效的方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Virus Immunization Model Based on Communities in Large Scale Networks
With the development of computers and Internet, more and more people use email. Viruses of email have caused large damages. Traditional intentional immunization based on nodes degree does not take the positions of infected nodes into account, and protects the nodes which have high degree. We introduce the concept of community into the research field of virus and immunization, and propose an immunization model based on communities. According to the different stages of virus infection, this model immunizes infected communities or healthy communities, which slows down the virus spreading rate and keeps virus from spreading to more communities. Degree immunization can not keep the virus in a part of communities, and as a result the infected nodes diffuse in almost all communities. Communities immunization can keep the virus in a certain number of communities. These two models are different in the ratio of infected communities and infected communities vector. In summary, communities immunization is different from the degree immunization completely, and is a novel and effective scheme.
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