DGIDS: Dynamic graph-based intrusion detection system for CAN

J Song, G Qin, Y Liang, J Yan, M Sun - Computers & Security, 2024 - Elsevier
Abstract The Controller Area Network (CAN) is widely used in automobiles to interconnect
safety-critical electronic control units (ECUs). Unfortunately, CAN does not have inherent …

[HTML][HTML] 智能网联汽车安全防护技术研究综述

周建华, 侯英哲, 吕臣臣, 刘冬, 孙娅苹… - 武汉大学学报(理学版 …, 2023 - xblx.whu.edu.cn
随着移动互联网和工业智能化的快速发展, 以智能网联汽车为核心的下一代智能交通系统逐渐
深入城市居民生活. 然而, 该前沿技术在为出行服务带来便利的同时, 近年来也逐渐暴露出诸如 …

Cyberattacks and countermeasures for intelligent and connected vehicles

F Luo, S Hou - SAE International Journal of Passenger Cars …, 2019 - sae.org
ICVs are expected to make the transportation safer, cleaner, and more comfortable in the
near future. However, the trend of connectivity has greatly increased the attack surfaces of …

SIDiLDNG: A similarity-based intrusion detection system using improved Levenshtein Distance and N-gram for CAN

J Song, G Qin, Y Liang, J Yan, M Sun - Computers & Security, 2024 - Elsevier
Due to the absence of encryption and authentication mechanisms in the Controller Area
Network (CAN), it is highly susceptible to attacks, especially with the increasing connectivity …

[HTML][HTML] Traffic anomaly detection algorithm for CAN bus using similarity analysis

C Wang, X Xu, K Xiao, Y He, GC Yang - High-Confidence Computing, 2024 - Elsevier
Recently, vehicles have experienced a rise in networking and informatization, leading to
increased security concerns. As the most widely used automotive bus network, the …

Static analysis of controller area network communication for attack detection

J Laufenberg, T Kropf, O Bringmann - European Journal for Security …, 2021 - Springer
The vulnerability of modern cars increases due to their multiple connections to the
environment, which offers the possibility of remote attacks in the worst case with fatal …

A framework for consistent and repeatable controller area network ids evaluation

P Agbaje, A Anjum, A Mitra, G Bloom… - … Workshop on Automotive …, 2022 - par.nsf.gov
The landscape of automotive vehicle attack surfaces continues to grow, and vulnerabilities
in the controller area network (CAN) expose vehicles to cyber-physical risks and attacks that …

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 …