期刊
DIGITAL SIGNAL PROCESSING
卷 78, 期 -, 页码 92-97出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.dsp.2018.03.002
关键词
Distributed Kalman filtering; Wireless sensor networks; Cyber attacks; Secured nodes; Clustering
资金
- Shaanxi Science and Technology Co-ordination & Innovation Project [2016KTZDGY04-01]
- National Natural Science Foundation of China [61373116, 71501156]
- Research Program of Xi'an Science and Technology Bureau [2017084CG/RC047 (XAYD001)]
We consider distributed Kalman filtering for dynamic state estimation over wireless sensor networks. It is promising but challenging when network is under cyber attacks. The compromised nodes are likely to influence system security by broadcasting malicious false measurements or estimates to their neighbors, and result in performance deterioration. To increase network resilience to cyber attacks, in this paper, trust-based dynamic combination strategy is developed. The proposed distributed Kalman filtering scheme is resilient to random, false data injection and replay attacks. Furthermore, it is efficient in terms of communication load, only instantaneous estimates are exchanged between the neighboring nodes and compromised nodes localization is a byproduct. (C) 2018 Elsevier Inc. All rights reserved.
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