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 …

Software in automotive systems is growing at an unprecedented rate. With support for more
advanced functionality such as autonomous driving and features providing various user …

In an era of connectivity and automation, the vehicle industry is adopting numerous
technologies to transform driver-centric vehicles into intelligent mechanical devices driven …

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 …

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 …

Modern automotive platforms are cyber-physical in nature and increasingly connected.
Cybersecurity testing of such platforms is expensive and carries safety concerns, making it …

With the growth of ECUs that are mounted in automobiles, the transmission capacity of
Controller Area Network (CAN), which is currently used by most on-vehicle networks, is …

Fuzz testing is an indispensable test-generation tool in software security. Fuzz testing uses
automated directed randomness to explore a variety of execution paths in software, trying to …

Driving simulation is the primary approach for testing the software components of
autonomous vehicles. This paper presents an automated testing method, termed …