In this paper, the problem of designing the worst-case ϵ-stealthy false data injection attacks
in cyber-physical systems is investigated. The attacker attempts to degrade the remote state …

In this paper, the problem of false data injection attacks for cyber-physical systems is
investigated. The Kullback–Leibler divergence is utilized to measure the stealthiness of the …

The problem of stealthy innovation-based attacks in cyber-physical systems is studied in this
paper. Different from the existing results which only utilize the current data, a more general …

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 …

This paper investigates the problem of designing the optimal completely stealthy attacks in
cyber-physical systems. Different from the strictly stealthy attacks in the existing results which …

This paper is concerned with the problem of how secure the innovation-based remote state
estimation can be under linear attacks. A linear time-invariant system equipped with a smart …

In this article, the innovation-based linear attack against state estimation in cyber-physical
systems is studied. The scenario is considered where a sensor transmits its measurements …

This paper mainly investigates how to maximally degrade estimation performance of a cyber–
physical system under limited resource. A stealthy false data injection (FDI) attack scheme is …

This article investigates the stealthy false data injection attack design problem for a class of
cyber physical systems equipped with state estimators and attack detectors. The objective is …

This article studies the impact of stochastic stealthy false data injection attacks on the
security of cyber-physical systems. The Kullback–Leibler divergence is used as the metric of …