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 …

Towards secure intra-vehicle communications in 5G advanced and beyond: Vulnerabilities, attacks and countermeasures

H Chen, J Liu, J Wang, Y Xun - Vehicular Communications, 2023 - Elsevier
Abstract Intelligent Connected Vehicle (ICV), as the product of the deep integration of
automobile, electronics, information, and artificial intelligence in the era of 5G advanced and …

Adversarial sensor attack on lidar-based perception in autonomous driving

Y Cao, C Xiao, B Cyr, Y Zhou, W Park… - Proceedings of the …, 2019 - dl.acm.org
In Autonomous Vehicles (AVs), one fundamental pillar is perception, which leverages
sensors like cameras and LiDARs (Light Detection and Ranging) to understand the driving …

Towards robust {LiDAR-based} perception in autonomous driving: General black-box adversarial sensor attack and countermeasures

J Sun, Y Cao, QA Chen, ZM Mao - 29th USENIX Security Symposium …, 2020 - usenix.org
Perception plays a pivotal role in autonomous driving systems, which utilizes onboard
sensors like cameras and LiDARs (Light Detection and Ranging) to assess surroundings …

Cyber-physical systems security—A survey

A Humayed, J Lin, F Li, B Luo - IEEE Internet of Things Journal, 2017 - ieeexplore.ieee.org
With the exponential growth of cyber-physical systems (CPSs), new security challenges
have emerged. Various vulnerabilities, threats, attacks, and controls have been introduced …

A survey of intrusion detection for in-vehicle networks

W Wu, R Li, G Xie, J An, Y Bai… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The development of the complexity and connectivity of modern automobiles has caused a
massive rise in the security risks of in-vehicle networks (IVNs). Nevertheless, existing IVN …

A machine learning approach for anomaly detection in industrial control systems based on measurement data

S Mokhtari, A Abbaspour, KK Yen, A Sargolzaei - Electronics, 2021 - mdpi.com
Attack detection problems in industrial control systems (ICSs) are commonly known as a
network traffic monitoring scheme for detecting abnormal activities. However, a network …

VoltageIDS: Low-level communication characteristics for automotive intrusion detection system

W Choi, K Joo, HJ Jo, MC Park… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The proliferation of computerized functions aimed at enhancing drivers' safety and
convenience has increased the number of vehicular attack surfaces accordingly. The …

The security of autonomous driving: Threats, defenses, and future directions

K Ren, Q Wang, C Wang, Z Qin… - Proceedings of the IEEE, 2019 - ieeexplore.ieee.org
Autonomous vehicles (AVs) have promised to drastically improve the convenience of driving
by releasing the burden of drivers and reducing traffic accidents with more precise control …

A survey of attacks on controller area networks and corresponding countermeasures

HJ Jo, W Choi - IEEE Transactions on Intelligent Transportation …, 2021 - ieeexplore.ieee.org
The development of vehicle technologies such as connected and autonomous vehicle
environments provide drivers with functions for convenience and safety that are highly …