中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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
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
DOI10.1109/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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