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 …

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 …

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 …

A Novel Multi-Attack IDS Framework for Intelligent Connected Terminals Based on Over-the-Air Signature Updates

B Li, W Hu, X Qu, Y Li - Electronics, 2023 - mdpi.com
Modern terminals are developing toward intelligence and ubiquitous connection. Such ICTs
(intelligent connected terminals) interact more frequently with the outside world and expose …

Multi-order feature interaction-aware intrusion detection scheme for ensuring cyber security of intelligent connected vehicles

W Gong, S Yang, H Guang, B Ma, B Zheng… - … Applications of Artificial …, 2024 - Elsevier
The evolution of technology has raised concerns regarding cybersecurity for intelligent
connected vehicles (ICVs). In-vehicle network in ICVs lacks robust protection mechanisms …

CAVIDS: Real time intrusion detection system for connected autonomous vehicles using logical analysis of data

A Kumar, TK Das - Vehicular Communications, 2023 - Elsevier
Abstract In recent times, Connected Autonomous Vehicles (CAVs) have been gaining
popularity and have already begun to revolutionize the transport industry, mainly using real …

Source Linking Framework in Vehicular Networks for Security of Electric Vehicles using Machine Learning

FM Noori, A Hafeez, H Malik, MZ Uddin… - 2023 IEEE Vehicular …, 2023 - ieeexplore.ieee.org
Fully connected autonomous vehicles are more vulnerable than ever to hacking and data
theft. The controller area network (CAN) protocol is an effective means of communication …

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 …

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 …

A novel information entropy approach for crack monitoring leveraging nondestructive evaluation sensing

S Malik, A Kontsos - Mechanical Systems and Signal Processing, 2024 - Elsevier
The accurate detection of crack activity is crucial for both material performance evaluation
and structural damage assessment. Recent developments have found Shannon's …