Title: Research on virus diffusion prevention method for computer singularity in complex sensor networks

Authors: Lei Ma; Ying Jian Kang; Hua Han; Gihong Min

Addresses: Beijing Polytechnic, No. 9 Liangshuihe Street, Beijing Economic and Technological Development Zone, Beijing 100000, China ' Beijing Polytechnic, No. 9 Liangshuihe Street, Beijing Economic and Technological Development Zone, Beijing 100000, China ' Beijing Polytechnic, No. 9 Liangshuihe Street, Beijing Economic and Technological Development Zone, Beijing 100000, China ' Paichai University, 155-40 Baejae-ro (Doma-Dong), Seo-Gu, Daejeon 302735, South Korea

Abstract: 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.

Keywords: complex sensor network; computer singularity; virus propagation defence; internet manufacturing; internet services.

DOI: 10.1504/IJIMS.2020.105037

International Journal of Internet Manufacturing and Services, 2020 Vol.7 No.1/2, pp.64 - 82

Received: 30 May 2018
Accepted: 24 Jul 2018
Published online: 11 Feb 2020 *

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