Cybersecurity in Robotic Autonomous Vehicles
Machine Learning Applications to Detect Cyber Attacks
Inhalt
Cybersecurity in Robotic Autonomous Vehicles introduces a novel Intrusion Detection System (IDS) specifically designed for AVs, which leverages data prioritization in CAN IDs to enhance threat detection and mitigation. It offers a pioneering intrusion detection model for AVs that uses machine and deep learning algorithms.
Bibliografische Angaben
März 2025, ca. 104 Seiten, Englisch
Taylor and Francis
978-1-041-00640-4