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A Survivability Over Security (SOS) Model for Computer Network Inspired by Biological Immunology and Gene Mutation

机译:受生物免疫学和基因突变启发的计算机网络安全性上的生存能力(SOS)模型

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Computer virus severely threats network security and new virus emerges while the old one is still spreading. In this paper, inspired by natural immune system and biological evolution theory, we propose a novel architecture for the computer network to improve its security and survivability.Borrowing methods from the complex network theory and epidemiology, some factors involved in the network survivability are analyzed, including network topology,distribution of immune node, the life-span of antigen and antibody and gene service mutation etc. A scale-free network model, characterized by Internet etc., is also proposed to study the sensitivity of those factors.
机译:计算机病毒严重威胁着网络安全,而在旧病毒仍在传播的同时,又出现了新病毒。本文在自然免疫系统和生物进化理论的启发下,提出了一种新型的计算机网络体系结构,以提高计算机网络的安全性和可生存性。从复杂网络理论和流行病学的研究方法入手,分析了网络可生存性所涉及的一些因素,包括网络拓扑结构,免疫结点的分布,抗原和抗体的寿命以及基因服务突变等。还提出了一种以互联网为特征的无标度网络模型,以研究这些因素的敏感性。

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