The recent advancements in autonomous driving come with the associated cybersecurity
issue of compromising networks of autonomous vehicles (AVs), motivating the use of AI …

The advent of autonomous driving systems has given rise to pressing cybersecurity issues
regarding the vulnerability of vehicular ad hoc networks (VANETs) to potential attacks. This …

One big challenge regarding the development of highly automated driving (HAD) functions
is validation and, in particular, providing proof of the desired functionality in any given …

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

Anomaly-based In-Vehicle Intrusion Detection System (IV-IDS) is one of the protection
mechanisms to detect cyber attacks on automotive vehicles. Using artificial intelligence (AI) …

Autonomous Vehicles (AVs) are closely connected in the Cooperative Intelligent
Transportation System (C-ITS). They are equipped with various sensors and controlled by …

The next wave in smart transportation is directed towards the design of renewable energy
sources that can fuel automobile sector to shift towards the autonomous electric vehicles …

This paper presents a novel anomaly detection methodology termed Statistical Aggregated
Anomaly Detection (SAAD). The SAAD approach integrates advanced statistical techniques …

The recent advancements in Advanced Driver Assistance Systems (ADAS) have significantly
contributed to road safety and driving comfort. An integral aspect of these systems is the …

Recent year has brought considerable advancements in Electric Vehicles (EVs) and
associated infrastructures/communications. Intrusion Detection Systems (IDS) are widely …