The Controller Area Network (CAN) is the most widely used in-vehicle communication
protocol, which still lacks the implementation of suitable security mechanisms such as …

Cyber–physical systems (CPSs) are new types of intelligent systems that integrate
computing, control, and communication technologies, bridging the cyberspace and physical …

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 …

In this paper, we present a survey of deep learning approaches for cyber security intrusion
detection, the datasets used, and a comparative study. Specifically, we provide a review of …

Nowadays, connected vehicles have a major role in enhancing the driving experience.
Connected vehicles in the network share their knowledge with the help of the network …

The increasing number of connected devices in the era of Internet of Thing (IoT) has also
increased the number intrusions. Intrusion Detection System (IDS) is a secondary intelligent …

Abstract Advanced Air Mobility (AAM) represents a collaborative vision shared by NASA,
regulatory agencies, and global industry leaders, aimed at establishing a robust and reliable …

The majority of machine learning methodologies operate with the assumption that their
environment is benign. However, this assumption does not always hold, as it is often …

Vehicular Edge Computing (VEC), based on the Edge Computing motivation and
fundamentals, is a promising technology supporting Intelligent Transport Systems services …

In the era of technological transformation, mobility and transportation systems are becoming
more intelligent and greener. Thanks to powerful technologies and tools, electric and …