Cybersecurity in Robotic Autonomous Vehicles Machine Learning Applications to Detect Cyber Attacks

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Cybersecurity in Robotic Autonomous Vehicles Machine Learning Applications to Detect Cyber Attacks

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Cybersecurity in Robotic Autonomous Vehicles Machine Learning Applications to Detect Cyber Attacks

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Cybersecurity in Robotic Autonomous Vehicles Machine Learning Applications to Detect Cyber Attacks

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.
  • Brand: Taylor & Francis Ltd
  • Category: Computing & Internet
  • Format: Paperback
  • Language: English
  • Publication Date: 2026-04-28
  • Publisher / Label: Taylor & Francis Ltd
  • Author: Cybersecurity in Robotic Autonomous Vehicles: Machine Learning Applications to Detect Cyber Attacks
  • Number of Pages: 90
  • Fruugo ID: 508010670-1039865084
  • ISBN: 9781003610915
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  • STANDARD: R392,49 - Delivery between Mon 14 September 2026–Fri 02 October 2026

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