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.

Cyber attacks

Wireless sensor networks

Secured nodes

Clustering

Distributed Kalman filtering

Författare

Fuxi Wen

Chalmers, Elektroteknik, Kommunikationssystem, informationsteori och antenner, Kommunikationssystem

Zhongmin Wang

Organisation okänd

Digital Signal Processing: A Review Journal

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

Vol. 78 92-97

Ämneskategorier

Systemvetenskap

Signalbehandling

Datavetenskap (datalogi)

DOI

10.1016/j.dsp.2018.03.002

Mer information

Senast uppdaterat

2018-05-25