In-vehicle buses and the Controller Area Network (CAN) in particular have been shown to
be vulnerable to adversarial actions. We embed adversary models and intrusion detection …

The growing integration of vehicles with external networks has led to a surge in attacks
targeting their Controller Area Network (CAN) internal bus. As a countermeasure, various …

Modern automotive functions are controlled by a large number of small computers called
electronic control units (ECUs). These functions span from safety-critical autonomous driving …

In the light of the recently reported attacks, in-vehicle security has become a major concern.
Intrusion detection systems, common in computer networks, have been recently proposed …

In the recent years, there has been a lot of focus on designing security for in-vehicle
networks and detecting intrusions. Still, no countermeasure is perfect and most of the …

As the security vulnerabilities of controller area networks (CAN) become well known, heavy-
duty vehicles implementing the SAE J1939 specification layer on this bus are immediate …

Rapid advancements in connected and autonomous vehicles (CAVs) are fueled by
breakthroughs in machine learning, yet they encounter significant risks from adversarial …

The vulnerability of vehicles due to the lack of security features of the Controller Area
Network (CAN) is now well known. CAN is one of the de facto standards for internal vehicle …

This paper discusses the robustness of machine learning-based intrusion detection systems
(IDSs) used in the Controller Area Networks context against adversarial samples, inputs …

This paper presents the development of an Intrusion Detection System (IDS) to be deployed
on a CAN bus. Since the introduction of many external interfaces in modern vehicles …