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

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

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 …

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 considers the Byzantine fault-tolerance problem in distributed stochastic gradient
descent (D-SGD) method-a popular algorithm for distributed multi-agent machine learning …

This paper considers the Byzantine fault-tolerance problem in distributed stochastic gradient
descent (D-SGD) method-a popular algorithm for distributed multi-agent machine learning …

Network security issues are significant for cyber-physical systems while existing wireless
networks are vulnerable to cyber-attacks. This paper proposes a novel detector for stealthy …

This work studies the security of consensus-based distributed filtering under the replay
attack, which can freely select a part of sensors and modify their measurements into …

This paper considers the problem of distributed detection in the presence of Byzantines who
seek to degrade detection performance by falsifying data. This paper proposes a novel …

Distributed approaches have many computational benefits, but they are vulnerable to
attacks from a subset of devices transmitting incorrect information. This paper investigates …