Autonomous driving vehicles (ADVs) are the next significant evolution in transportation
systems. Using machine learning techniques supported by strong processing units and …

As threat vectors and adversarial capabilities evolve, Cloud-Assisted Connected and
Autonomous Vehicles (CCAVs) are becoming more vulnerable to cyberattacks. Several …

Control of a platoon of connected vehicles with nonlinear longitudinal dynamics subject to
failure in receiving communicated and radio data is addressed in this paper. We consider a …

This paper first investigates various attacks against Remote Keyless Entry (RKE) systems in
cars. Then, we propose an authentication protocol based on Physical Unclonable Functions …

This paper analyzes the outcomes of an exploratory review of the current research on
networked driverless technologies, autonomous vehicle algorithms, and transportation …

In Intelligent Transportation Systems (ITS), ensuring road safety has paved the way for
innovative advancements such as autonomous driving. These self-driving vehicles, with …

Cyber defenses are increasingly challenged to keep up with attackers who might be using
automation or machine learning as part of their attack strategies. Autonomous defensive …

The automotive industry is undoubtedly taking giant strides toward a paradigm shift. In
essence, wireless network communication and artificial intelligence technologies are …

Abstract Controller Area Network (CAN), the de facto standard for in-vehicle networks, has
insufficient security features and thus is inherently vulnerable to various attacks. To protect …

The sensor‐enabled in‐vehicle communication and infrastructure‐centric vehicle‐to‐
everything (V2X) communications have significantly contributed to the spark in the amount of …