Connected autonomous vehicles (CAVs) are transforming the transportation business by
incorporating advanced technology such as sensors, communication systems, and artificial …

Wireless interfaces, remote control schemes, and increased autonomy have raised the
attacks surface of vehicular networks. As powerful monitoring entities, intrusion detection …

Connected and automated vehicles (CAVs) are becoming a reality. Prototyping and testing
of self-driving vehicle technology are becoming more popular around the world. The secure …

In-vehicle networks handle the communication among Electronic Control Units (ECUs) and
sensors with a serial protocol called Controller Area Network (CAN), which takes advantage …

Federated learning (FL) is a machine learning technique that aims at training an algorithm
across decentralized entities holding their local data private. Wireless mobile networks allow …

Along with providing several benefits, the unprecedented growth of connected and
automated vehicles brings worries about damaging cyber attacks. Network-based intrusion …

In recent years, the Internet of Vehicles (IoV) has garnered significant attention from
researchers and automotive industry professionals due to its expanding range of …

Connected and Automated Vehicles (CAVs) represent a rapidly growing technology in the
automotive domain sector, offering promising solutions to address challenges such as traffic …

Vehicular networks improve quality of life, security, and safety, making them crucial to smart
city development. With the rapid advancement of intelligent vehicles, the confidentiality and …

Federated learning (FL) has emerged as an effective solution to build a collaborative
intrusion detection model for Industry 4.0 in a privacy-preserved way. However, due to the …