1. “Artificial Intelligence in Cybersecurity”
Author: Leslie F. Sikos
Why Read It:
This book provides a comprehensive academic overview of how AI techniques like machine learning, deep learning, and expert systems are applied in cyber defense. It includes case studies and is excellent for understanding current research directions.
2. “Machine Learning and Security: Protecting Systems with Data and Algorithms”
Authors: Clarence Chio & David Freeman
Why Read It:
A hands-on guide that discusses how machine learning is being used to detect malware, phishing, fraud, and other cyber threats. It blends practical implementations with the theory behind them.
3. “AI in Cybersecurity” (part of the Springer series on Advances in Information Security)
Editors: Mark Stamp, Richard Chow
Why Read It:
A collection of expert-contributed chapters exploring various applications of AI in intrusion detection, malware classification, network security, and adversarial machine learning.
4. “Hands-On Artificial Intelligence for Cybersecurity”
Author: Alessandro Parisi
Why Read It:
This book is focused on using Python and ML frameworks to build AI-based cybersecurity tools. Great for practitioners who want to prototype or understand how to implement AI-based security solutions.
5. “Cybersecurity and Artificial Intelligence: Use Cases, Challenges, and the Road Ahead”
Author: Rajeev Muthukrishnan
Why Read It:
Explores real-world use cases, from anomaly detection in enterprise networks to threat hunting. Also discusses the ethical and legal considerations of AI in security.