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

In response to these challenges, this book introduces a novel intrusion detection system (IDS) specifically designed for AVs, which leverages data prioritisation in CAN IDs to enhance threat detection and mitigation. To be more precise, the IDS analyses the sequence of CAN bus messages and filters the data flow, which increases the efficiency of anomaly and cyber threat detection. We have incorporated Machine Learning and Deep Learning frameworks into the IDS in order to analyse CAN bus traffic and identify the presence of any malicious activities in real time with a high level of accuracy. By employing classifiers like support vector machines (SVM), k-nearest neighbours (KNN), and neural networks, the system has been able to maintain an accuracy rate of more than 99% in identifying between the genuine data and the possible threats with minimal false alarms.

The book will interest researchers and advanced undergraduate students taking courses in cybersecurity, automotive engineering, and Data Science. Automotive industry and robotics professionals focusing on Internet of Vehicles and cybersecurity will also benefit from the contents.