Distributed estimation of sensor networks with false data injection attack recognition and communication triggering mechanism

被引：0

作者：

Cai W. ^{[1
,2
]}

Zhang Y. ^{[1
,2
]}

机构：

[1] School of Automation, Southeast University, Nanjing

[2] Key Laboratory of Measurement and Control of Complex Systems of Engineering of Ministry of Education, Southeast University, Nanjing

来源：

Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition) | 2019年 / 49卷 / 05期

关键词：

Distributed estimation; Event-trigger; False data injection attacks; Sensor networks;

D O I：

10.3969/j.issn.1001-0505.2019.05.011

中图分类号：

学科分类号：

摘要：

To improve the distributed filtering performance of sensor networks under injection attack and solve the problem of energy limitation in network communication transmission process, a distributed filtering algorithm with communication triggering mechanism and attack detection was designed. By studying the measurement residuals between the prior estimated data and the actual measurement data of the sensor node, the detection conditions of the sensor node under injection attack were obtained, so as to remove the attacked data and ensure the normal operation of the system. The sensor node established an event-triggered communication mechanism by comparing the latest data sent to the neighbor node with the new measurement data to decide whether to send data to neighbor nodes. Simulation results show that the algorithm has a high rate of attack recognition up to 90% and can improve the performance of the system while reducing the communication rate. The distributed filtering algorithm with communication triggering mechanism and attack detection can be used to solve distributed filtering problems with energy limitation and injection attack. © 2019, Editorial Department of Journal of Southeast University. All right reserved.

引用

页码：890 / 896

页数：6

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