Security of networked control systems subject to deception attacks: A survey

ZH Pang, LZ Fan, H Guo, Y Shi, R Chai… - … Journal of Systems …, 2022 - Taylor & Francis
A networked control system (NCS), which integrates various physical components by
utilising communication networks, is a complex intelligent control system with high flexibility …

[HTML][HTML] Industrial cyber-physical systems protection: A methodological review

R Canonico, G Sperlì - Computers & Security, 2023 - Elsevier
Ubiquitous utilization of Information and Communication Technologies in modern
manufacturing plants has transformed them into Cyber-Physical Systems (CPSs), making …

False data injection attacks against partial sensor measurements of networked control systems

ZH Pang, LZ Fan, Z Dong, QL Han… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This brief concerns the problem of false data injection (FDI) attacks against partial sensor
measurements of a networked stochastic system. For a Kalman filter based output tracking …

Man-in-the-middle attack against cyber-physical systems under random access protocol

XG Zhang, GH Yang, S Wasly - Information Sciences, 2021 - Elsevier
This paper investigates the man-in-the-middle (MITM) attack against cyber-physical systems
(CPSs) under the random access protocol (RAP) scheduling, where an attacker intercepts …

Secure state estimation for systems under mixed cyber-attacks: Security and performance analysis

H Lin, J Lam, Z Wang - Information Sciences, 2021 - Elsevier
We study the state estimation for cyber-physical systems (CPSs) whose communication
channels are subject to mixed denial-of-service (DoS) and false data injection (FDI) attacks …

Complete stealthiness false data injection attacks against dynamic state estimation in cyber-physical systems

GY Yang, XJ Li - Information Sciences, 2022 - Elsevier
This paper is concerned with the design of complete stealthiness false data injection (FDI)
attacks in cyber-physical systems with Kullback-Leiber divergence (KLD) detector. Different …

[HTML][HTML] Revisiting gradient boosting-based approaches for learning imbalanced data: A case of anomaly detection on power grids

MHL Louk, BA Tama - Big Data and Cognitive Computing, 2022 - mdpi.com
Gradient boosting ensembles have been used in the cyber-security area for many years;
nonetheless, their efficacy and accuracy for intrusion detection systems (IDSs) remain …

False data injection attacks on sensors against state estimation in cyber-physical systems

JR Huo, XJ Li - Journal of the Franklin Institute, 2023 - Elsevier
In this paper, the problem about the false data injection attacks on sensors to degrade the
state estimation performance in cyber-physical systems (CPSs) is investigated. The attack …

Cybersecurity Landscape on Remote State Estimation: A Comprehensive Review

J Zhou, J Shang, T Chen - IEEE/CAA Journal of Automatica …, 2024 - ieeexplore.ieee.org
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 …

Optimal cooperative multiple-attackers scheduling against remote state estimation of cyber-physical systems

J Zhang, J Sun - Systems & Control Letters, 2020 - Elsevier
In this paper, we consider multiple-attackers schedule problem against remote state
estimation in cyber-physical systems (CPSs). Compared with the existing results in which …