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 …

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 …

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 investigates the strictly stealthy attack on cyber–physical systems (CPSs), where
the attacker aims to degrade the remote estimation performance maximally while bypassing …

This article focuses on investigating the tradeoff problem between the attack stealthiness
and the attack performance in cyber-physical systems. The notion of-stealthiness is utilized …

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 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 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 …

In this work, a security problem in cyber–physical systems is studied. We consider a remote
state estimation scenario where a sensor transmits its measurement to a remote estimator …

With the wide application of cyber-physical systems, stealthy attacks on remote state
estimation have attracted increasing research attention. Recently, various stealthy …