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{
"item_title" : "Cybersecurity in Robotic Autonomous Vehicles",
"item_author" : [" Ahmed Alruwaili", "Sardar M. N. Islam", "Iqbal Gondal "],
"item_description" : "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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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.
This item is Non-Returnable
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Details
- ISBN-13: 9781003610915
- ISBN-10: 1003610919
- Publisher: CRC Press
- Publish Date: June 2026
- Dimensions: 8.5 x 5.5 x 0.22 inches
- Shipping Weight: 0.3 pounds
- Page Count: 90
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