Ahmed Alruwaili,Sardar M. N.Islam,Iqbal Gondal
Cybersecurity in Robotic Autonomous Vehicles: Machine Learning Applications to Detect Cyber Attacks
Cybersecurity in Robotic Autonomous Vehicles: Machine Learning Applications to Detect Cyber Attacks
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Format: Hardback
Length: 90 pages
Publication date: 20 March 2025
Publisher: Taylor & Francis Ltd
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.
Weight: 252g
Dimension: 144 x 224 x 13 (mm)
ISBN-13: 9781041006404
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