详细信息
A non-cooperative non-zero-sum game-based dependability assessment of heterogeneous WSNs with malware diffusion ( SCI-EXPANDED收录 EI收录) 被引量:31
文献类型:期刊文献
英文题名:A non-cooperative non-zero-sum game-based dependability assessment of heterogeneous WSNs with malware diffusion
作者:Shen, Shigen[1];Ma, Haiping[2];Fan, En[1];Hu, Keli[1];Yu, Shui[3];Liu, Jianhua[4];Cao, Qiying[5]
机构:[1]Shaoxing Univ, Dept Comp Sci & Engn, Shaoxing, Zhejiang, Peoples R China;[2]Shaoxing Univ, Dept Elect Engn, Shaoxing, Zhejiang, Peoples R China;[3]Deakin Univ, Sch Informat Technol, Burwood, Australia;[4]Jiaxing Univ, Coll Math Phys & Informat Engn, Jiaxing, Zhejiang, Peoples R China;[5]Donghua Univ, Coll Comp Sci & Technol, Shanghai, Peoples R China
年份:2017
卷号:91
起止页码:26
外文期刊名:JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
收录:SCI-EXPANDED(收录号:WOS:000403523000003)、、EI(收录号:20172003667936)、Scopus(收录号:2-s2.0-85019114799)、WOS
基金:This work was supported by National Natural Science Foundation of China under Grants nos. 61272034, 61572014, and 61603258, and by Zhejiang Provincial Natural Science Foundation of China under Grant no. LY16F020028.
语种:英文
外文关键词:Heterogeneous Wireless Sensor Networks; Game theory; Dependability assessment; Malware diffusion; Markov chain; Reliability theory
外文摘要:We consider Heterogeneous Wireless Sensor Networks (HWSNs) with malware diffusion and find a solution to assess their dependability in order to guarantee dependable operations on sending sensed data from sensor nodes (SNs) to a sink node. To this end, we regard an infection as a state transition of a Markov chain and propose a heterogeneous discrete-time Susceptible-Infected-Susceptible (SIS) model to disclose the diffusion process by combining the SNs' heterogeneity with the malware's spread probability, which is foreseen by a developed non-cooperative non-zero-sum game. We further present reliability and availability measures for a susceptible SN from the perspective of reliability theory, from which we deduce and obtain metrics of reliability and availability assessment of HWSNs with star and cluster topologies. We therefore set up a dependability assessment mechanism for HWSNs with malware diffusion. Experiments illustrate the influence of the parameters on malware's selection of the optimal spread probability and the mean time to infection of a susceptible SN. We also validate the effectiveness of the proposed mechanism. Our results can be applied to set up theoretical bases for governing the employment of reliable techniques.
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