Cyber-physical systems (CPSs) have emerged as an essential area of research in the last
decade, providing a new paradigm for the integration of computational and physical units in …

In this article, an issue of data-driven optimal strictly stealthy attack design for the stochastic
linear invariant systems is investigated, with the aim of maximizing the system performance …

This paper primarily explores the challenge of stealthy innovation-based attacks within cyber–
physical systems. An optimal covert false data injection attack strategy is proposed, which …

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

This paper studies the optimal false data injection (FDI) attack scheduling problem for multi-
sensor cyber–physical systems (CPSs), where the communication bandwidth and energy …

This article addresses the problem of optimal deception attacks against remote state
estimation, where the measurement data is transmitted through an unreliable wireless …

This article studies the vulnerability for a class of nonlinear cyber–physical systems under
stealthy attacks, ie, whether the attack is able to destabilize the system and not be detected …

This paper is concerned with the security problem of distributed state estimation for
stochastic multi-agent systems (MASs) under directed topology. First, in the absence of …

This paper studies the security issue of malicious attackers degrading remote estimation by
injecting false data into sensors in cyber-physical systems. The typical attacks involve …

This paper investigates stealthy attacks on cyber-physical systems that are monitored by a
parity-space based detector and corrupted by bounded disturbances. Specifically, this work …