Cybersecurity in robotic autonomous vehicles: machine learning applications to detect cyber attacks
Auteur :
Alruwaili, Ahmed / Islam, Sardar M. N. / Gondal, Iqbal
Éditeur :
Taylor & Francis Ltd
ISBN :
9781041006404
Date de publication :
20 mars 2025
Dimensions :
21,6 x 13,8 cm
Poids :
360 g
Langue :
Anglais
Pays d'origine :
Grande Bretagne
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.