A Survey on Cyber-Physical Security of Autonomous Vehicles Using a Context Awareness Method
Autonomous vehicles face challenges in ensuring cyber-physical security due to their
reliance on image data from cameras processed by machine learning. These algorithms …
reliance on image data from cameras processed by machine learning. These algorithms …
An Anomaly Behavior Analysis Framework for Securing Autonomous Vehicle Perception
MM Abrar, S Hariri - arXiv preprint arXiv:2310.05041, 2023 - arxiv.org
As a rapidly growing cyber-physical platform, Autonomous Vehicles (AVs) are encountering
more security challenges as their capabilities continue to expand. In recent years …
more security challenges as their capabilities continue to expand. In recent years …
DeepSecDrive: An explainable deep learning framework for real-time detection of cyberattack in in-vehicle networks
W Ding, I Alrashdi, H Hawash, M Abdel-Basset - Information Sciences, 2024 - Elsevier
Autonomous driving (AD) technologies are becoming increasingly popular, promising
significant enhancements in road safety and efficiency. However, the susceptibility of …
significant enhancements in road safety and efficiency. However, the susceptibility of …
Artificial intelligence (AI) advancements for transportation security: in-depth insights into electric and aerial vehicle systems
The transformative advancements in transportation technology have brought forth electric
and aerial vehicles (EnAVs) as revolutionizing modes of mobility. However, amidst the …
and aerial vehicles (EnAVs) as revolutionizing modes of mobility. However, amidst the …
Explainable Artificial Intelligence (XAI): connecting artificial decision-making and human trust in autonomous vehicles
AVS Madhav, AK Tyagi - Proceedings of Third International Conference on …, 2022 - Springer
Automated navigation technology has established itself as an integral facet of intelligent
transportation and smart city systems. Several international technological organizations …
transportation and smart city systems. Several international technological organizations …
Machine Learning for Automotive Cybersecurity: Challenges, Opportunities and Future Directions
Connected autonomous vehicles (CAVs) hold the promise of not only improving functional
safety but also improving mobility and the efficiency of transportation systems. CAVs can be …
safety but also improving mobility and the efficiency of transportation systems. CAVs can be …
Towards context-awareness for enhanced safety of autonomous vehicles
NB Haupt, P Liggesmeyer - … Systems and Applications: Proceedings of the …, 2022 - Springer
Autonomous vehicles operate in dynamic environments continuously encountering safety-
critical scenarios. This necessitates employing methodologies that can handle these …
critical scenarios. This necessitates employing methodologies that can handle these …
Towards autonomous driving model resistant to adversarial attack
KH Shibly, MD Hossain, H Inoue… - Applied Artificial …, 2023 - Taylor & Francis
ABSTRACT Connected and Autonomous Vehicles (CAVs) offer improved efficiency and
convenience through innovative embedded devices. However, the development of these …
convenience through innovative embedded devices. However, the development of these …
[HTML][HTML] Enhancing smart road safety with federated learning for Near Crash Detection to advance the development of the Internet of Vehicles
We introduce an innovative methodology for the identification of vehicular collisions within
Internet of Vehicles (IoV) applications. This approach combines a knowledge base system …
Internet of Vehicles (IoV) applications. This approach combines a knowledge base system …
Adversarial Attacks on Intrusion Detection Systems in In-Vehicle Networks of Connected and Autonomous Vehicles
Rapid advancements in connected and autonomous vehicles (CAVs) are fueled by
breakthroughs in machine learning, yet they encounter significant risks from adversarial …
breakthroughs in machine learning, yet they encounter significant risks from adversarial …