This paper considers consensus-based distributed Kalman filtering subject to data-
falsification attack, where Byzantine agents share manipulated data with their neighboring …

This paper studies the consensus Kalman filtering algorithm with distributed attack detection
for reducing the effects of false data injection attacks in wireless sensor networks. The FDI …

This article proposes a distributed Kalman filter (DKF) with enhanced robustness against
Byzantine adversaries. A Byzantine agent is a legitimate network agent that, unlike an …

We consider distributed Kalman filter for dynamic state estimation over wireless sensor
networks. It is promising but challenging when network is under cyber attacks. Since the …

This paper proposes a Byzantine-resilient consensus-based distributed filter (BR-CDF)
wherein network agents employ partial sharing of state parameters. We characterize the …

False data injection attacks are widely investigated to exploit the cyber-vulnerability of Cyber-
Physical System. However, the existing attack policies only consider the cyber-vulnerability …

This paper is concerned with the distributed state estimation problem for wireless sensor
networks with false data injection (FDI) attacks. A residual-based detector is designed to …

In this article, we consider the security problem for the consensus-based distributed state
estimation. To resist the malicious attacker who can falsify the data transmitted through the …

This paper analyzes and detects the adverse effects of cyber-physical attacks on distributed
Kalman filters in sensor networks. To this end, we first evaluate the effect of adversaries on …

This paper focuses on the security issue of consensus-based distributed filtering under
replay attacks over wireless sensor networks. The local information from each sensor, which …