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 …

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 …

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 …

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 …

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

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 …

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

Abstract While Vehicular Ad-hoc Network (VANET) is developed to enable effective vehicle
communication and traffic information exchange, VANET is also vulnerable to different …

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 development of vehicle technologies such as connected and autonomous vehicle
environments provide drivers with functions for convenience and safety that are highly …