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Cybersecurity in Robotic Autonomous Vehicles : Machine Learning Applications to Detect Cyber Attacks
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Overview
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.
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Details
- ISBN-13: 9781041006404
- ISBN-10: 1041006403
- Publisher: CRC Press
- Publish Date: March 2025
- Dimensions: 8.5 x 5.5 x 0.31 inches
- Shipping Weight: 0.6 pounds
- Page Count: 90
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