This paper delves into the transformative role of machine learning (ML) techniques in
revolutionizing the security of electric and flying vehicles (EnFVs). By exploring key domains …

As assisted driving technology advances and vehicle entertainment systems rapidly
develop, future vehicles will become mobile cinemas, where passengers can use various …

The rapid evolution of modern automobiles into intelligent and interconnected entities
presents new challenges in cybersecurity, particularly in Intrusion Detection Systems (IDS) …

When it comes to in-vehicle networks (IVNs), the controller area network (CAN) bus
dominates the market; automobiles manufactured and sold worldwide depend on the CAN …

Autonomous driving (AD) technologies are becoming increasingly popular, promising
significant enhancements in road safety and efficiency. However, the susceptibility of …

Abstract The development of Intrusion Detection Systems (IDS) for in-vehicle buses has
gained a lot of momentum in recent years as the number of reported vulnerabilities and the …

Although ubiquitous in modern vehicles, Controller Area Networks (CANs) lack basic
security properties and are easily exploitable. A rapidly growing field of CAN security …

With the rapid development of autonomous vehicles, more and more functions and
computing requirements have led to the continuous centralization in the topology of …

Driver behavior is an essential factor affecting traffic safety, and driver behavior monitoring
systems (DMSs) are widely exploited in intelligent transportation systems to reduce the risk …

As more vehicles are being connected to the Internet and equipped with autonomous driving
features, more robust safety and security measures are required for connected and …