首页> 外文会议>Global Telecommunications Conference, 2004. GLOBECOM '04. IEEE >Modeling virus and anti-virus dynamics in topology-aware networks
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Modeling virus and anti-virus dynamics in topology-aware networks

机译:在拓扑感知网络中对病毒和反病毒动态进行建模

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Viruses propagating over the Internet can result in significant damage and the loss of network security. On the other hand, the anti-virus process is already a part of the virus spreading process and plays an important role affecting the dynamics of virus spreading. The spreading dynamics of most viruses depend upon the underlying network topology. While much research effort has been made in the development of anti-virus software/tools, the dynamics and propagating model of virus and anti-virus spreading in topology-aware networks is neither well understood, nor thoroughly investigated. To remedy this deficiency, we propose a two-layer small-world network topology to model the spreading characteristics of viruses as coexisting with the anti-virus spreading process. Simulation experiments verify the analytical results in characterizing both the virus and anti-virus spreading dynamics.
机译:在Internet上传播的病毒可能会导致严重的破坏,并导致网络安全性的丧失。另一方面,反病毒过程已经是病毒传播过程的一部分,并在影响病毒传播动力学方面起着重要作用。大多数病毒的传播动态取决于底层的网络拓扑。尽管在防病毒软件/工具的开发方面已进行了大量研究工作,但对拓扑结构感知的网络中病毒和防病毒传播的动力学和传播模型仍未充分了解,也未进行彻底调查。为了弥补这一缺陷,我们提出了一个两层的小世界网络拓扑结构,以将病毒的传播特征建模为与反病毒传播过程共存。仿真实验验证了表征病毒和反病毒传播动力学的分析结果。

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