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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 Hardcover Book (Book with hard spine and cover) |
| Released | March 20, 2025 |
| ISBN13 | 9781041006404 |
| Publishers | Taylor & Francis Ltd |
| Pages | 90 |
| Dimensions | 224 × 144 × 13 mm · 252 g |
| Language | English |
