Distributed Kalman filtering for robust state estimation over wireless sensor networks under malicious cyber attacks
Artikel i vetenskaplig tidskrift, 2018

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.

Secured nodes

Wireless sensor networks

Distributed Kalman filtering

Cyber attacks



Fuxi Wen

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

Zhongmin Wang

Xi'an University of Posts and Telecommunications

Digital Signal Processing: A Review Journal

1051-2004 (ISSN) 1095-4333 (eISSN)

Vol. 78 92-97




Datavetenskap (datalogi)



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