Cybersecurity in Robotic Autonomous Vehicles: Machine Learning...

Description

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

Explore advanced cybersecurity techniques for protecting autonomous and connected vehicles from modern cyber threats.

Cybersecurity in Robotic Autonomous Vehicles presents an innovative approach to securing autonomous vehicles (AVs) by introducing a next-generation Intrusion Detection System (IDS) specifically designed for automotive environments. Combining machine learning, deep learning, and intelligent data prioritization, the book demonstrates how advanced AI techniques can strengthen vehicle security against increasingly sophisticated cyberattacks.

As autonomous and connected vehicles become more common, protecting their communication systems is essential. This book provides a detailed examination of the cybersecurity challenges facing modern vehicles, with a particular focus on vulnerabilities within the Controller Area Network (CAN) bus—the backbone of in-vehicle communication.

Readers will discover how intelligent intrusion detection techniques can monitor CAN bus traffic in real time, identify suspicious behavior, and respond quickly to potential threats with high levels of accuracy.

Inside the book, you’ll learn how to:

• Understand the cybersecurity challenges affecting autonomous and robotic vehicles.
• Explore vulnerabilities within Controller Area Network (CAN) communication systems.
• Design intelligent intrusion detection systems tailored for autonomous vehicles.
• Apply machine learning and deep learning algorithms to identify malicious network activity.
• Analyze CAN bus traffic to detect cyberattacks in real time.
• Improve threat detection through intelligent data prioritization techniques.
• Strengthen vehicle resilience against evolving cyber threats.
• Explore practical applications of AI-driven security in the Internet of Vehicles (IoV).

Blending theoretical foundations with practical research, the book highlights how artificial intelligence can significantly improve automotive cybersecurity while supporting the safe deployment of next-generation autonomous transportation systems.

Ideal for researchers, advanced students, cybersecurity specialists, automotive engineers, robotics professionals, and data scientists, Cybersecurity in Robotic Autonomous Vehicles offers valuable insights into securing intelligent vehicles in an increasingly connected world.