In electronic autonomous vehicles (AVs), provable and explainable safety becomes the
critical protection for their consumers. While traditional safety test schemes can detect the …

The rapid development of in-vehicle networks and protocols brings efficient communication
service but also increases the risk of attack. Any vulnerability may be leveraged to cause …

Challenges related to automated driving are no longer focused on just the construction of
such automated vehicles (AVs) but also on assuring the safety of operation. Recent …

There is increasing computational complexity within the connected car, and with the advent
of autonomous vehicles, how do manufacturers test for cyber-security assurance? The fuzz …

There is a need for new tools and techniques to aid automotive engineers performing
cybersecurity testing on connected car systems. This is in order to support the principle of …

Autonomous driving has become real; semi-autonomous driving vehicles in an affordable
price range are already on the streets, and major automotive vendors are actively …

The security of the Internet of Vehicles (IoV) has always been a concern. The constantly
changing IoV data under varying traffic conditions made it unsuitable for the IoV to adopt …

Securing safe driving for connected and autonomous vehicles (CAVs) continues to be a
widespread concern, despite various sophisticated functions delivered by artificial …

This paper proposes AV-FUZZER, a testing framework, to find the safety violations of an
autonomous vehicle (AV) in the presence of an evolving traffic environment. We perturb the …

Simulation-based virtual testing has become an essential step to ensure the safety of
autonomous driving systems. Testers need to handcraft the virtual driving scenes and …