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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- More about Cybersecurity in Robotic Autonomous Vehicles: Machine Learning Applications to Detect Cyber Attacks
Format: Paperback / softback
Length: 90 pages
Publication date: 21 June 2026
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: 200g
Dimension: 216 x 138 (mm)
ISBN-13: 9781003610915
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