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Автор: Ahmed Alruwaili, Sardar M.N. Islam, Iqbal Gondal
Издательство: CRC Press
Год: 2025
Страниц: 107
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB
Cybersecurity in Robotic Autonomous Vehicles introduces a novel intrusion detection system (IDS) specifically designed for AVs, which leverages data prioritisation in CAN IDs to enhance threat detection and mitigation. It offers a pioneering intrusion detection model for AVs that uses Machine Learning and Deep Learning algorithms. Presenting a new method for improving vehicle security, the book demonstrates how the IDS has incorporated Machine Learning and Deep Learning frameworks to analyse CAN bus traffic and identify the presence of any malicious activities in real time with high level of accuracy. It provides a comprehensive examination of the cybersecurity risks faced by AVs with a particular emphasis on CAN vulnerabilities and the innovative use of data prioritisation within CAN IDs.