This paper investigates the deferred output constraint (DOC) issues of high-order random
nonlinear systems. The DOC indicates that the system output is constrained within a given …

In large-scale networks, communication links between nodes are easily injected with false
data by adversaries. This paper proposes a novel security defense strategy from the …

This article explores the state estimation problem of memristive neural networks (MNNs) with
mixed delays subject to multichannel round-robin protocol (MRRP) and multimodal injection …

This paper investigates the problem of network security for stealthy false data injection (FDI)
attacks under modified Kalman filtering (MKF) over complex networks with non-Gaussian …

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 focuses on the problem of strictly stealthy attacks design against nonlinear multi-
agent systems (MASs) with directed communication topology. First, a distributed attack …

Due to the dynamic and uncertain nature of the autonomous driving environment, traditional
detection methods are ineffective in detecting complex and diverse anomalies. Additionally …

This paper primarily focuses on designing stealthy false data injection attacks targeting two
communication channels in cyber‐physical systems equipped with state estimators and …

False data injection attacks can disrupt the steering control actions and make a real threat to
both the security and safety of autonomous vehicles. In this paper, a secure event‐triggered …

False data injection attacks are widely investigated to exploit the cyber-vulnerability of Cyber-
Physical System. However, the existing attack policies only consider the cyber-vulnerability …