Addressing malware attacks on connected and autonomous vehicles: recent techniques and challenges

A Al-Sabaawi, K Al-Dulaimi, E Foo… - Malware Analysis Using …, 2021 - Springer
Part of the wider development and monitoring of smart environments for an intelligent cities
approach is the building of an intelligent transportation system. Such a system involves the …

A deep learning-based intrusion detection system for in-vehicle networks

H Alqahtani, G Kumar - Computers and Electrical Engineering, 2022 - Elsevier
Modern vehicles are increasingly getting connected within the vehicles, with other systems,
leading to more concerns about security. Controller area network (CAN) has become a de …

MLIDS: Handling raw high-dimensional CAN bus data using long short-term memory networks for intrusion detection in in-vehicle networks

AK Desta, S Ohira, I Arai… - 2020 30th International …, 2020 - ieeexplore.ieee.org
CAN uses no authentication and encryption mechanisms for secure communication. To
solve the security issues of the CAN bus, a deep learning-based intrusion detection systems …

Enhanced Intrusion Detection in In-Vehicle Networks using Advanced Feature Fusion and Stacking-Enriched Learning

A Altalbe - IEEE Access, 2023 - ieeexplore.ieee.org
Modern vehicles rely heavily on interconnected electronic control units (ECUs) through in-
vehicle networks to perform crucial functions such as braking and monitoring engine RPMs …

Advanced analytics for connected car cybersecurity

M Levi, Y Allouche… - 2018 IEEE 87th vehicular …, 2018 - ieeexplore.ieee.org
The vehicular connectivity revolution is fueling the automotive industry's most significant
transformation seen in decades. However, as modern vehicles become more connected …

ICVTest: A Practical Black-Box Penetration Testing Framework for Evaluating Cybersecurity of Intelligent Connected Vehicles

H Zhang, J Wang, Y Wang, M Li, J Song, Z Liu - Applied Sciences, 2023 - mdpi.com
Intelligent connected vehicles (ICVs) are equipped with extensive electronic control units
which offer convenience but also pose significant cybersecurity risks. Penetration testing …

Intrusion detection system for can bus in-vehicle network based on machine learning algorithms

A Alfardus, DB Rawat - 2021 IEEE 12th Annual Ubiquitous …, 2021 - ieeexplore.ieee.org
The advent of automotive industry has an increasing market demand pertaining to
installation of intelligent transportation facilities in modern vehicles. Now more comfortable …

Keep the moving vehicle secure: Context-aware intrusion detection system for in-vehicle CAN bus security

S Rajapaksha, H Kalutarage… - … on Cyber Conflict …, 2022 - ieeexplore.ieee.org
The growth of information technologies has driven the development of the transportation
sector, including connected and autonomous vehicles. Due to its communication …

GVIDS: A reliable vehicle intrusion detection system based on generative adversarial network

Y Zhao, Y Xun, J Liu, S Ma - GLOBECOM 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
5G and artificial intelligence greatly promote the development of intelligent and connected
vehicle (ICV). However, ICV opens more ports to the outside world, making it easy for …

VCIDS: Collaborative intrusion detection of sensor and actuator attacks on connected vehicles

P Guo, H Kim, L Guan, M Zhu, P Liu - … Falls, ON, Canada, October 22–25 …, 2018 - Springer
Modern urban vehicles adopt sensing, communication and computing modules into almost
every functioning aspect to assist humans in driving. However, the advanced technologies …