[HTML][HTML] Intrusion detection in intelligent connected vehicles based on weighted self-information

T Yu, J Hu, J Yang - Electronics, 2023 - mdpi.com
The Internet of Vehicles (IoV) empowers intelligent and tailored services for intelligent
connected vehicles (ICVs). However, with the increasing number of onboard external …

Evaluation framework for network intrusion detection systems for in-vehicle can

G Dupont, J Den Hartog, S Etalle… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Modern vehicles are complex safety critical cyber physical systems, that are connected to
the outside world, with all security implications it brings. Different network intrusion detection …

Driver fatigue detection method based on human pose information entropy

T Li, T Zhang, Y Zhang, L Yang - Journal of advanced …, 2022 - Wiley Online Library
Driver fatigue detection (DFD) is an effective method to prevent traffic accidents. The existing
research on DFD using facial features is an effective and noninvasive fatigue detection …

Fingerprinting ecus to implement vehicular security for passenger safety using machine learning techniques

S Bellaire, M Bayer, A Hafeez, RUD Refat… - Proceedings of SAI …, 2022 - Springer
Abstract The Controller Area Network (CAN) protocol used in vehicles today was designed
to be fast, reliable, and robust. However, it is inherently insecure due to its lack of any kind of …

Anomaly detection for controller area network in braking control system with dynamic ensemble selection

Y Yang, L Wang, Z Li, P Shen, X Guan, W Xia - IEEE Access, 2019 - ieeexplore.ieee.org
The controller area networks (CAN) in the braking control system of metro trains are used to
transmit the important control instruction and condition information, whose anomaly will …

Automotive virtual in-sensor analytics for securing vehicular communication

GI Trouli, G Kornaros - IEEE Design & Test, 2020 - ieeexplore.ieee.org
Automotive Virtual In-sensor Analytics for Securing Vehicular Communication Page 1 91
2168-2356/20©2020 IEEE Copublished by the IEEE CEDA, IEEE CASS, IEEE SSCS, and TTTC …

Enhancing ECU identification security in CAN networks using distortion modeling and neural networks

A Hafeez, H Malik, A Irtaza, MZ Uddin… - Frontiers in Computer …, 2024 - frontiersin.org
A novel technique for electronic control unit (ECU) identification is proposed in this study to
address security vulnerabilities of the controller area network (CAN) protocol. The reliable …

CANGuard: Practical intrusion detection for in-vehicle network via unsupervised learning

W Zhou, H Fu, S Kapoor - 2021 IEEE/ACM Symposium on Edge …, 2021 - ieeexplore.ieee.org
Modern vehicles are becoming more advanced recently by incorporating new functionalities,
such as V2X, more connectivity and autonomous driving. However, these new things also …

State of the art survey on comparison of physical fingerprinting-based intrusion detection techniques for in-vehicle security

A Hafeez, K Rehman, H Malik - 2020 - sae.org
Controller area network (CAN) is used as a legacy protocol for in-vehicle communication.
However, it lacks basic security features such as message authentication, integrity …

Concept of Using the MBSE Approach to Integrate Security Patterns in Safety-Related Projects for the Automotive Industry

P Piątek, P Mydłowski, A Buczacki… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The automotive industry is undergoing significant changes due to increased connectivity,
data usage, and vehicle autonomy, which pose new challenges and increase the attack …