复杂传感器网络中计算机奇点病毒扩散防护方法研究

Q4 Engineering
Lei Ma, Ying-jian Kang, Hua Han, Gihong Min
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引用次数: 0

摘要

在现有的病毒传播防御方法中,没有考虑免疫失败、感染载体和传播延迟的综合影响。因此,计算机奇点病毒的传播难以控制。基于平均场理论,提出了一种具有传染载体和传播延迟的SIS传播模型。分析了复杂传感器网络中计算机病毒对网络传播特性的影响。建立了一种新的元胞自动机模型来模拟计算机病毒的传播。利用基于免疫原理的计算机奇点病毒检测模型的抽象层,提出了一种奇点病毒检测的融合方法。通过不同抗原呈递基因文库的融合,提高了计算机奇点病毒传播的防御能力。实验结果表明,该方法的目标免疫网络连通性因子比仅为0.18,低于最近邻免疫的0.37倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on virus diffusion prevention method for computer singularity in complex sensor networks
In current virus propagation defence methods, immunisation failures, as well as combination influence of infectious vector and propagation delay in propagation are not considered. Therefore, propagation of computer singularity virus is hard to control. A new SIS propagation model is proposed based on mean field theory with infectious vector and propagation delay. The influence of computer virus in complex sensor networks on the propagation property is analysed. A new cellular automata model is built to simulate computer virus propagation. With abstraction layer from computer singularity virus detection model based on immunisation principle, a fusion method for singularity virus detection is proposed. Through fusion of different antigen presentation gene library, ability of defence of computer singularity virus propagation is improved. Experimental results show that target immune network connectivity factor ratio of our method is only 0.18, lower than 0.37 multiples of nearest neighbour immunity.
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来源期刊
International Journal of Internet Manufacturing and Services
International Journal of Internet Manufacturing and Services Engineering-Industrial and Manufacturing Engineering
CiteScore
0.70
自引率
0.00%
发文量
7
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