Intelligent event-based fuzzy dynamic positioning control of nonlinear unmanned marine vehicles under DoS attack

D Zhang, Z Ye, G Feng, H Li - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This article addresses the dynamic positioning control problem of a nonlinear unmanned
marine vehicle (UMV) system subject to network communication constraints and deny-of …

Steeleye: An application-layer attack detection and attribution model in industrial control systems using semi-deep learning

S Nakhodchi, B Zolfaghari, A Yazdinejad… - … on Privacy, Security …, 2021 - ieeexplore.ieee.org
The security of Industrial Control Systems is of high importance as they play a critical role in
uninterrupted services provided by Critical Infrastructure operators. Due to a large number of …

Hybrid honey badger-world cup algorithm-based deep learning for malicious intrusion detection in industrial control systems

S Nagarajan, S Kayalvizhi, R Subhashini… - Computers & Industrial …, 2023 - Elsevier
The security analysis has become the hotspot concern in Industrial Control Systems (ICSs)
that grabs the research attention in today's era. Owing to the rapid admittance of the …

A Study on Networked Industrial Robots in Smart Manufacturing: Vulnerabilities, Data Integrity Attacks and Countermeasures

X Shao, L Xie, C Li, Z Wang - Journal of Intelligent & Robotic Systems, 2023 - Springer
The recent integration and collaboration of robots with networks expose new challenges and
problems in terms of security. However, to the best of our knowledge, there has not been any …

ICS anomaly detection based on sensor patterns and actuator rules in spatiotemporal dependency

J Cai, Z Wei, J Luo - IEEE Transactions on Industrial Informatics, 2024 - ieeexplore.ieee.org
Data-driven methods, such as deep learning, are widely adopted to detect cyberattacks for
Industrial control systems (ICSs). Due to the neglect of entity spatial relationships (ESR) …

Cloud-edge coordinated traffic anomaly detection for industrial cyber-physical systems

T Yang, W Hao, Q Yang, W Wang - Expert Systems with Applications, 2023 - Elsevier
Industrial cyber-physical systems (ICPSs) are facing increasing cyber threats that can cause
catastrophes in the physical systems. Efficient network traffic anomaly detection is essential …

Model-free adaptive control for a class of MIMO nonlinear cyberphysical systems under false data injection attacks

P Zhu, S Jin, X Bu, Z Hou, C Yin - IEEE Transactions on Control …, 2022 - ieeexplore.ieee.org
In this article, a novel model-free adaptive control (MFAC) design for a class of multiple input
multiple output (MIMO) nonlinear cyber-physical systems (CPSs) under false data injection …

On feasibility of coordinated time-delay and false data injection attacks on cyber–physical systems

Z Zhang, R Deng, P Cheng… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
With the widespread adoption of Internet of Things (IoT) technologies, cyber–physical
systems (CPSs) are facing threats from cyberattacks due to the vulnerabilities exposed in IoT …

Recent endeavors in machine learning-powered intrusion detection systems for the Internet of Things

D Manivannan - Journal of Network and Computer Applications, 2024 - Elsevier
The significant advancements in sensors and other resource-constrained devices, capable
of collecting data and communicating wirelessly, are poised to revolutionize numerous …

E‐minBatch GraphSAGE: An Industrial Internet Attack Detection Model

J Lan, JZ Lu, GG Wan, YY Wang… - Security and …, 2022 - Wiley Online Library
The Industrial Internet has grown rapidly in recent years, and attacks against the Industrial
Internet have also increased. When compared with the traditional Internet, the industrial …