文献类型：期刊文献

英文题名：Multistage Signaling Game-Based Optimal Detection Strategies for Suppressing Malware Diffusion in Fog-Cloud-Based IoT Networks

作者：Shen, Shigen[1];Huang, Longjun[1];Zhou, Haiping[1];Yu, Shui[2];Fan, En[1];Cao, Qiying[3]

机构：[1]Shaoxing Univ, Dept Comp Sci & Engn, Shaoxing 312000, Peoples R China;[2]Deakin Univ, Sch Informat Technol, Melbourne, Vic 3125, Australia;[3]Donghua Univ, Coll Comp Sci & Technol, Shanghai 201620, Peoples R China

年份：2018

卷号：5

期号：2

起止页码：1043

外文期刊名：IEEE INTERNET OF THINGS JOURNAL

收录：SCI-EXPANDED(收录号：WOS:000429971100052)、、EI(收录号：20180504681575)、Scopus(收录号：2-s2.0-85040924123)、WOS

基金：This work was supported by the National Natural Science Foundation of China under Grant 61772018, Grant 61703280, and Grant 61728201.

语种：英文

外文关键词：Cloud computing; fog computing; Internet of Things (IoT); malware; privacy; signaling game

外文摘要：We consider the Internet of Things (IoT) with malware diffusion and seek optimal malware detection strategies for preserving the privacy of smart objects in IoT networks and suppressing malware diffusion. To this end, we propose a malware detection infrastructure realized by an intrusion detection system (IDS) with cloud and fog computing to overcome the IDS deployment problem in smart objects due to their limited resources and heterogeneous subnetworks. We then employ a signaling game to disclose interactions between smart objects and the corresponding fog node because of malware uncertainty in smart objects. To minimize privacy leakage of smart objects, we also develop optimal strategies that maximize malware detection probability by theoretically computing the perfect Bayesian equilibrium of the game. Moreover, we analyze the factors influencing the optimal probability of a malicious smart object diffusing malware, and factors influencing the performance of a fog node in determining an infected smart object. Finally, we present a framework to demonstrate a potential and practical application of suppressing malware diffusion in IoT networks.