Differential evolution-based three stage dynamic cyber-attack of cyber-physical power systems

KD Lu, ZG Wu, T Huang - IEEE/ASME Transactions on …, 2022 - ieeexplore.ieee.org
With the rapid development of communication, control, and computer technology, traditional
power systems have evolved into cyber-physical power system (CPPS). However, CPPS not …

[HTML][HTML] A qualitative AI security risk assessment of autonomous vehicles

K Grosse, A Alahi - Transportation Research Part C: Emerging …, 2024 - Elsevier
This paper systematically analyzes the security risks associated with artificial intelligence
(AI) components in autonomous vehicles (AVs). Given the increasing reliance on AI for …

Deep learning adversarial attacks and defenses in autonomous vehicles: a systematic literature review from a safety perspective

ADM Ibrahum, M Hussain, JE Hong - Artificial Intelligence Review, 2025 - Springer
Abstract The integration of Deep Learning (DL) algorithms in Autonomous Vehicles (AVs)
has revolutionized their precision in navigating various driving scenarios, ranging from anti …

Covert attack detection for LFC systems of electric vehicles: A dual time-varying coding method

Z Wu, E Tian, H Chen - IEEE/ASME Transactions on …, 2022 - ieeexplore.ieee.org
In recent years, electric vehicles (EVs) have been widely used due to their remarkable
decrease in carbon emissions and gasoline consumption. When the EVs are incorporated …

Cyber attacks via consumer electronics: Studying the threat of covert malware in smart and autonomous vehicles

MS Haghighi, F Farivar, A Jolfaei… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In Industry 5.0, man and machine work alongside each other in production, but smart and
autonomous vehicles are examples that show this notion is now being extended to the end …

Driving conflict resolution of autonomous vehicles at unsignalized intersections: A differential game approach

P Hang, C Huang, Z Hu, C Lv - IEEE/ASME Transactions on …, 2022 - ieeexplore.ieee.org
Considering personalized driving preferences, a new decision-making framework is
developed using a differential game approach to resolve the driving conflicts of autonomous …

Monitoring and defense of industrial cyber-physical systems under typical attacks: From a systems and control perspective

Y Jiang, S Wu, R Ma, M Liu, H Luo… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In the new industrial environment, the safe and reliable operation of Industrial Cyber-
Physical Systems (ICPSs) is being threatened by new types of attacks: Attackers carefully …

A Disturbance Decoupling Generalized Proportional–Integral Observer Design for Robust Sensor Fault Detection

X Dai, Y Hu, D Cui, T Chai - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
This article presents a novel disturbance decoupling generalized proportional–integral
observer (DD-GPIO) for the early detection of sensor faults in dynamic systems subject to …

An interpretive perspective: Adversarial trojaning attack on neural-architecture-search enabled edge AI systems

SP Xu, K Wang, MR Hassan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this article, we propose and analyze a group of adversarial backdoor attack methods on
neural-architecture-search (NAS) enabled edge AI systems in industrial Internet of Things …

Autonomous vehicle decision-making algorithms and data-driven mobilities in networked transport systems

E Taylor - Contemporary Readings in Law and Social Justice, 2021 - ceeol.com
This article presents an empirical study carried out to evaluate and analyze autonomous
vehicle decision-making algorithms and data-driven mobilities in networked transport …