This paper presents a new design of an innovation-based stealthy attack strategy against
distributed state estimation over a sensor network. In the absence of network attack, an …

Remote state estimation through a wireless communication network is usually vulnerable to
malicious cyber-attacks, which can manipulate transmitted data without even being …

This article studies the problem of deception attacks against remote state estimation from an
information perspective. The Kullback–Leibler divergence between the compromised …

This article studies the impact of constrained optimal stealthy attacks on the state estimator,
where man-in-the-middle attacks with a linear form can compromise innovations transmitted …

This article studies the problem of false data injection (FDI) attacks against remote state
estimation. The scenario that malicious attackers can intercept original data packets and …

This brief studies the security issue of remote state estimation of cyber-physical systems
under replay attacks, where the measurement residual is computed in smart sensors and …

The vulnerability analysis of remote state estimation with batch-data detectors is investigated
in this article. The considered scenario is that sensors measure the process state and …

In this article, a precisely designed system framework for linear cyber-physical systems is
presented to address the detection and performance compensation problems caused by …

This paper investigates stealthy attacks on state estimation within linear time-invariant
systems, focusing on scenarios where transmitted measurements through wireless networks …

This article studies the design of the optimal stealthy joint attacks against distributed state
estimation in cyber-physical systems to steer the state estimates in all the sensors as close …