Ai-based intrusion detection systems for in-vehicle networks: A survey

S Rajapaksha, H Kalutarage, MO Al-Kadri… - ACM Computing …, 2023 - dl.acm.org
The Controller Area Network (CAN) is the most widely used in-vehicle communication
protocol, which still lacks the implementation of suitable security mechanisms such as …

CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-Level

MH Shahriar, Y Xiao, P Moriano… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Modern vehicles rely on a fleet of electronic control units (ECUs) connected through
controller area network (CAN) buses for critical vehicular control. With the expansion of …

Intrusion detection system can-bus in-vehicle networks based on the statistical characteristics of attacks

J Khan, DW Lim, YS Kim - Sensors, 2023 - mdpi.com
For in-vehicle network communication, the controller area network (CAN) broadcasts to all
connected nodes without address validation. Therefore, it is highly vulnerable to all sorts of …

CF-AIDS: Comprehensive Frequency-Agnostic Intrusion Detection System on In-Vehicle Network

MR Islam, M Sahlabadi, K Kim, Y Kim, K Yim - IEEE Access, 2023 - ieeexplore.ieee.org
Many studies have focused on obtaining high accuracy in the design of Intrusion Detection
Systems (IDS) for in-vehicle networks, neglecting the significance of different intensive …

Black-box adversarial attacks on network-wide multi-step traffic state prediction models

B Poudel, W Li - 2021 IEEE International Intelligent …, 2021 - ieeexplore.ieee.org
Traffic state prediction is necessary for many Intelligent Transportation Systems applications.
Recent developments of the topic have focused on network-wide, multi-step prediction …

CANShield: Signal-based intrusion detection for controller area networks

Modern vehicles rely on complex cyber-physical systems made up of hundreds of electronic
control units (ECUs) connected through controller area network (CAN) buses. However, the …

Distributed collaborative anomaly detection for trusted digital twin vehicular edge networks

J Liu, S Zhang, H Liu, Y Zhang - … , WASA 2021, Nanjing, China, June 25 …, 2021 - Springer
The vehicular networks are vulnerable to cyber security attacks due to the vehicles' large
attack surface. Anomaly detection is an effective means to deal with this kind of attack. Due …

Detecting In-Vehicle Attacks with Deep Learning: An Applied Approach

AN Al-Masri, H Mokayed - Journal of Cybersecurity and …, 2021 - americaspg.com
With the increasing number of connected vehicles on the road, the need for secure in-
vehicle systems is more pressing than ever. In-vehicle attacks can compromise the safety …

Intelligent Connected Vehicles

W Wu, R Kurachi, G Zeng, Y Wang… - … and High-Performance …, 2022 - taylorfrancis.com
Intelligent Connected Vehicle (ICV) is a typical automotive cyber-physical system (ACPS),
which integrates sensing, computing, networks, and control functions. The functional safety …

VADtalk: An Internet of Vehicles Platform Facilitating Anomaly Detection Modeling and Deployment for Self-Driving Vehicles

YC Lu, SR Yang, P Lin… - 2023 International Wireless …, 2023 - ieeexplore.ieee.org
In recent years, self-driving vehicles have gradually been appearing on the road, but society
has also begun to worry about the possibility of accidents caused by the anomaly self …