A comprehensive survey on the cyber-security of smart grids: Cyber-attacks, detection, countermeasure techniques, and future directions
One of the significant challenges that smart grid networks face is cyber-security. Several
studies have been conducted to highlight those security challenges. However, the majority …
studies have been conducted to highlight those security challenges. However, the majority …
Learning-based secure control for multichannel networked systems under smart attacks
Y Yu, GP Liu, W Hu - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
This article is concerned with the security control of a class of discrete-time linear
cyberphysical systems (CPSs) subject to denial-of-service attacks. To enhance the inherent …
cyberphysical systems (CPSs) subject to denial-of-service attacks. To enhance the inherent …
Single-dimensional encryption against innovation-based stealthy attacks on remote state estimation
Remote state estimation through a wireless communication network is usually vulnerable to
malicious cyber-attacks, which can manipulate transmitted data without even being …
malicious cyber-attacks, which can manipulate transmitted data without even being …
Event-triggered data-driven control for nonlinear systems under frequency-duration-constrained DoS attacks
This paper addresses the event-triggered model free adaptive control (MFAC) problem for
unknown nonlinear systems under denial-of-service (DoS) attacks, where the design and …
unknown nonlinear systems under denial-of-service (DoS) attacks, where the design and …
Cybersecurity threat assessment integrating qualitative differential and evolutionary games
H Zhang, J Tan, X Liu, S Huang, H Hu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Most current game theory-based cybersecurity analysis methods use traditional game
models, which do not meet realistic conditions of continuous dynamic changes in attack …
models, which do not meet realistic conditions of continuous dynamic changes in attack …
Rollout approach to sensor scheduling for remote state estimation under integrity attack
We consider the sensor scheduling problem for remote state estimation under integrity
attacks. We seek to optimize a trade-off between the energy consumption of communications …
attacks. We seek to optimize a trade-off between the energy consumption of communications …
Measurement-based optimal stealthy attacks on remote state estimation
P Li, D Ye - IEEE Transactions on Information Forensics and …, 2022 - ieeexplore.ieee.org
This paper focuses on designing measurement-based optimal stealthy attacks for linear
cyber-physical systems (CPSs), where attackers aim to deteriorate the performance of …
cyber-physical systems (CPSs), where attackers aim to deteriorate the performance of …
[HTML][HTML] Entice to trap: enhanced protection against a rate-aware intelligent jammer in cognitive radio networks
Anti-jamming in cognitive radio networks (CRN) is mainly accomplished using machine
learning techniques in the domains of frequency, coding, power and rate. Jamming is a …
learning techniques in the domains of frequency, coding, power and rate. Jamming is a …
The noise covariances of linear Gaussian systems with unknown inputs are not uniquely identifiable using autocovariance least-squares
Existing works in optimal filtering for linear Gaussian systems with arbitrary unknown inputs
assume perfect knowledge of the noise covariances in the filter design. This is impractical …
assume perfect knowledge of the noise covariances in the filter design. This is impractical …
Jamming-Resilient Over-the-Air Computation for Federated Learning in Edge Intelligence
By making full use of the accumulative feature of wireless signals, the over-the-air
computation makes it possible for the federated learning to aggregate all the parameters …
computation makes it possible for the federated learning to aggregate all the parameters …