This article studies a class of distributed attack strategies against state estimation of wireless
sensor networks. The attack objective is to corrupt the least numbers of sensors so that the …

Network attacks always threaten economic operations and personal privacy, which have
resulted in severe and irreparable damage. Therefore, the investigation of network attacks is …

This paper investigates the problem of deception attacks against remote estimation in cyber-
physical systems. The Kullback Leibler divergence is employed to characterize the attack …

The tight coupling of information technology with physical sensing and actuation in cyber-
physical systems (CPS) has given rise to new security vulnerabilities and attacks with …

State estimation plays a critical role in maintaining operational stability of a power system,
which is however vulnerable to attacks. False data injection (FDI) attacks can manipulate the …

This paper investigates the distributed secure state estimation problem for the cyber–
physical systems monitored by a multi-agent network where partial agents are malicious …

Distributed estimation of a deterministic mean-shift parameter in additive zero-mean noise is
studied when using quantized data in the presence of Byzantine attacks. Several subsets of …

Robust diffusion adaptive estimation algorithms based on the maximum correntropy criterion
(MCC), including adapt then combine MCC and combine then adapt MCC, are developed to …

Distributed adaptive learning algorithms have played a critical role in signal processing and
parameter estimation over networks. Most existing algorithms are based on the mean …

This article investigates thedistributed securestate estimation problem for cyber-physical
systems under replay attacks. The main purpose is to design the distributed observers such …