About This Book

The rapid growth of digital technologies, interconnected systems, cloud computing, Internet
of Things, mobile platforms, and online services has created significant opportunities for
individuals, organizations, and society. At the same time, this digital transformation has
resulted in an increasingly complex cyber threat landscape. Malware, ransomware, phishing,
data breaches, network attacks, insider threats, and sophisticated persistent attacks
continue to challenge traditional approaches to cyber security. In this environment, Artificial
Intelligence (AI) has emerged as a powerful technology for improving the ability to detect,
analyze, predict, and respond to cyber threats.
The book Artificial Intelligence for Cyber Security presents a systematic study of the
concepts, techniques, tools, and applications of Artificial Intelligence in modern cyber
security. It explains how Machine Learning, Deep Learning, Natural Language Processing,
and other AI techniques can be applied to identify abnormal activities, analyze security data,
detect malicious behavior, and support automated security operations.
The book begins with the fundamentals of Artificial Intelligence and Cyber Security, providing
readers with an understanding of the relationship between intelligent computing and digital
security. It then introduces major cyber threats and attack techniques, including malware,
ransomware, phishing, social engineering, network attacks, and emerging forms of
cybercrime. Understanding these threats provides the foundation for exploring how AI can
be used to develop more effective defense mechanisms.
Machine Learning and Deep Learning are central themes of this book. Different learning
approaches, including supervised learning, unsupervised learning, classification, clustering,
and anomaly detection, are discussed in the context of cyber security. Deep Learning
techniques such as neural networks, Convolutional Neural Networks, Recurrent Neural
Networks, and Long Short-Term Memory networks are examined for their applications in
intrusion detection, malware analysis, network monitoring, and threat identification.
The book also explores AI-based Intrusion Detection and Prevention Systems, intelligent
malware and ransomware detection, network traffic analysis, application security, botnet
detection, vulnerability identification, and automated security monitoring. Natural Language
Processing is introduced as an important technique for analyzing phishing emails, security
reports, threat intelligence, system logs, and other textual security information.
With the emergence of Generative AI and Large Language Models, the relationship between
Artificial Intelligence and Cyber Security has become increasingly important. These
technologies can assist security professionals with threat analysis, incident investigation,
security operations, and knowledge extraction. However, AI can also be exploited by
attackers to create more sophisticated threats. Therefore, the book addresses both the
defensive opportunities and security challenges associated with AI.

AUTHOR DETAILS
Dr. Marrynal S. Eastaff
Dr. A. Sathiya Priya
Jowana Dhirshal.S
Sreevidhyaa S