Cybersecurity in Robotic Autonomous Vehicles: Machine Learning Applications to Detect Cyber Attacks

By Sardar M. N. Islam, Ahmed Alruwaili, Iqbal Gondal

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.

• Format: Hardcover
• Language: English
• ISBN: 1041006403
• ISBN13: 9781041006404
• Release Date: March 2025
• Publisher: CRC Press
• Length: 90 Pages
• Weight: 0.60 lbs.
• Dimensions: 0.3" x 5.5" x 8.5"