Hosting a Book Project: Artificial Intelligence for Cyber-Physical Systems Hardening


Artificial Intelligence for Cyber-Physical Systems Hardening

A book edited by:

To be published by Springer


The merging of computer systems and physical-mechanical systems led to the creation of Cyber-Physical Systems (CPS). A cyber-physical system combines software systems, sensors, and actuators connected over computer networks. Through these sensors, data about the physical world can be captured for processing. The software system processes the captured data from the sensors and makes decisions. The decisions are sent as signals to trigger the actuators to perform specific actions that affect the state of the physical world. Today examples of cyber-physical systems are everywhere, from autonomous vehicles to wearable devices.

The fact that CPS directly impacts the physical world made the security and trust of cyber-physical systems a significant concern. The complexity and the scale of CPS introduced various security, privacy and trust challenges that traditional security engineering practices cannot handle.

The application of Artificial Intelligence (AI) for cyber-physical systems hardening encompasses various techniques, methodologies and best practices to mitigate vulnerabilities and security risks in CPS by eliminating potential security threats and reducing the systems’ attack surface. The book focuses on the applications of artificial intelligence in hardening CPS against conventional and unconventional attack vectors. It covers diverse methods and techniques for hardening software, hardware, firmware, infrastructure, and communication channels in CPS.


This book aims to publish high-quality original research contributions on theory and applied aspects of engineering secure Cyber-Physical Systems by lever artificial intelligence. It seeks to strengthen the body of knowledge by providing insights into techniques for hardening software, hardware, firmware, infrastructure, and communication channels in CPS.

Intended audience

This book will be helpful for senior undergraduate and graduate students interested in cyber-physical systems hardening in computer science and engineering. Professionals and researchers interested in cyber-physical systems and the application of AI in systems hardening will gain an in-depth overview of the current state-of-the-art.

Recommended topics for chapters include, but are not limited to, the following:

  1. Cybersecurity automation and scalability
  2. Applied AI for Security Testing and Validation in Cyber-Physical Systems
  3. Machine learning and deep learning techniques for Cyber-Physical Systems Security
  4. AI-based solutions for usable security in Cyber-Physical Systems
  5. Attack Modelling and Attack Surface Estimation
  6. Mitigation of cyber risks in Cyber-Physical Systems
  7. Forensics and Incident Response in Cyber-Physical Systems
  8. Adversarial Machine Learning for Cyber-Physical Systems
  9. Intelligent Attack Detection and Prevention in Cyber-Physical Systems
  10. AI and behavioural-based Access Control Solutions in Cyber-Physical Systems
  11. Attack Tolerance and Mitigation Techniques in Cyber-Physical Systems
  12. AI and Machine Learning for Hardware and Physical Security in Cyber-Physical System

Submission Procedure

Researchers and practitioners are invited to submit on or before November 10, 2022, a 1-3 pages’ chapter proposal in printable PDF format clearly explaining the mission and concerns of the proposed chapter. Authors of accepted proposals will be notified by November 15, 2022 about the status of their proposal and sent chapter organizational guidelines. All submitted chapters will be subject to peer review.

Please click here to use easy chair for submitting your chapter proposal

Important Dates

Chapter Template

Please use the following chapter template to prpare your chapter

Support or Inquiries

Inquiries about submissions can be forwarded by e-mail to any of the book editors at or or