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Cybersecurity in Robotic Autonomous Vehicles: Machine Learning Applications to Detect Cyber Attacks Ahmed Alruwaili
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Cybersecurity in Robotic Autonomous Vehicles: Machine Learning Applications to Detect Cyber Attacks
Ahmed Alruwaili
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.
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | June 21, 2026 |
| ISBN13 | 9781003610915 |
| Publishers | Taylor & Francis Ltd |
| Pages | 90 |
| Dimensions | 150 × 220 × 10 mm · 200 g |
