文献类型：期刊文献

英文题名：Optimal Report Strategies for WBANs Using a Cloud-Assisted IDS

作者：Shen, Shigen[1,2];Hu, Keli[1];Huang, Longjun[1,3];Li, Hongjie[2];Han, Risheng[2];Cao, Qiying[4]

机构：[1]Shaoxing Univ, Dept Comp Sci & Engn, Shaoxing 312000, Peoples R China;[2]Jiaxing Univ, Coll Math Phys & Informat Engn, Jiaxing 314001, Peoples R China;[3]Zhejiang Univ Technol, Coll Comp Sci & Technol, Hangzhou 310014, Zhejiang, Peoples R China;[4]Donghua Univ, Coll Comp Sci & Technol, Shanghai 201620, Peoples R China

年份：2015

卷号：2015

外文期刊名：INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS

收录：SCI-EXPANDED(收录号：WOS:000365916400001)、、EI(收录号：20155001660999)、Scopus(收录号：2-s2.0-84949294736)、WOS

基金：This work was supported by the National Natural Science Foundation of China under Grant no. 61272034, by Zhejiang Provincial Natural Science Foundation of China under Grants LY13F030012 and LY13F020035, and by Science Foundation of Shaoxing University under Grant no. 20145021.

语种：英文

外文关键词：Intrusion detection - Wearable sensors - Wireless local area networks (WLAN)

外文摘要：Applying an Intrusion Detection System (IDS) to Wireless Body Area Networks (WBANs) becomes a costly task for body sensors due to their limited resources. To solve this problem, a cloud-assisted IDS framework is proposed. We adopt a new distributed-centralized mode, where IDS agents residing in body sensors will be triggered to launch. All IDS agents are only responsible for reporting the monitored events, not intrusion decision that is processed in the cloud platform. We then employ the signaling game to construct an IDS Report Game (IDSRG) depicting interactions between a body sensor and its opponent. The pure-and mixed-strategy Bayesian Nash Equilibriums (BNEs) of the stage IDSRG are achieved, respectively. As two players interact continually, we develop the stage IDSRG into a dynamic multistage game in which the belief can be updated dynamically. Upon the current belief, the Perfect Bayesian Equilibrium(PBE) of the dynamic multistage IDSRG is attained, which helps the IDS-sensor select the optimal report strategy. We afterward design a PBE-based algorithm to make the IDS-sensor decide when to report the monitored events. Experiments show the effectiveness of the dynamic multistage IDSRG in predicting the type and optimal strategy of a malicious body sensor.