Stochastic DoS Attack Allocation Against Collaborative Estimation in Sensor Networks
文献类型:期刊论文
作者 | Ya Zhang; Lishuang Du; Frank L. Lewis |
刊名 | IEEE/CAA Journal of Automatica Sinica
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出版日期 | 2020 |
卷号 | 7期号:5页码:1225-1234 |
关键词 | Attack allocation denial of service (DoS) attack packet loss remote estimation sensor networks |
ISSN号 | 2329-9266 |
DOI | 10.1109/JAS.2020.1003285 |
英文摘要 | In this paper, denial of service (DoS) attack management for destroying the collaborative estimation in sensor networks and minimizing attack energy from the attacker perspective is studied. In the communication channels between sensors and a remote estimator, the attacker chooses some channels to randomly jam DoS attacks to make their packets randomly dropped. A stochastic power allocation approach composed of three steps is proposed. Firstly, the minimum number of channels and the channel set to be attacked are given. Secondly, a necessary condition and a sufficient condition on the packet loss probabilities of the channels in the attack set are provided for general and special systems, respectively. Finally, by converting the original coupling nonlinear programming problem to a linear programming problem, a method of searching attack probabilities and power to minimize the attack energy is proposed. The effectiveness of the proposed scheme is verified by simulation examples. |
源URL | [http://ir.ia.ac.cn/handle/173211/43030] ![]() |
专题 | 自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica |
推荐引用方式 GB/T 7714 | Ya Zhang,Lishuang Du,Frank L. Lewis. Stochastic DoS Attack Allocation Against Collaborative Estimation in Sensor Networks[J]. IEEE/CAA Journal of Automatica Sinica,2020,7(5):1225-1234. |
APA | Ya Zhang,Lishuang Du,&Frank L. Lewis.(2020).Stochastic DoS Attack Allocation Against Collaborative Estimation in Sensor Networks.IEEE/CAA Journal of Automatica Sinica,7(5),1225-1234. |
MLA | Ya Zhang,et al."Stochastic DoS Attack Allocation Against Collaborative Estimation in Sensor Networks".IEEE/CAA Journal of Automatica Sinica 7.5(2020):1225-1234. |
入库方式: OAI收割
来源:自动化研究所
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