Cybersecurity in Robotic Autonomous Vehicles : Machine Learning Applications to Detect Cyber Attacks - Ahmed Alruwaili

Cybersecurity in Robotic Autonomous Vehicles

Machine Learning Applications to Detect Cyber Attacks

By: Ahmed Alruwaili, Sardar M. N. Islam, Iqbal Gondal

Hardcover | 20 March 2025

At a Glance

Hardcover


RRP $112.00

$93.75

16%OFF

or 4 interest-free payments of $23.44 with

 or 

Aims to ship in 7 to 10 business days

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.

More in Machine Learning

AI Engineering : Building Applications with Foundation Models - Chip Huyen
How We Learn : The New Science of Education and the Brain - Stanislas Dehaene
Designing Large Language Model Applications : A Holistic Approach - Suhas Pai
HBR Guide to Generative AI for Managers : HBR Guide - Elisa Farri
Superintelligence : Paths, Dangers, Strategies - Nick Bostrom

RRP $32.95

$25.35

23%
OFF
A.I. Machine Learning - Dr. Kyle Allison

Fold-Out Book or Chart

RRP $19.99

$17.40

13%
OFF