AI for Cybersecurity and Digital Forensics (Hardcover)

This book provides a detailed cutting-edge technique of Artificial intelligence (AI) that transforms the forensic and security landscape. It is organised into five parts: basic foundational principles, AI techniques for cybersecurity, AI in digital forensic, realworld cybercrime applications; and challenges, ethics, and future directions.

AI for Cybersecurity and Digital Forensics presents a structured and in-depth journey from the foundational concepts, technologies, and applications of AI in building resilient, intelligent, and trustworthy security systems. This book bridges theory, technology, and real-time practice for beginners to modern practitioners. It covers key topics including AI, Machine Learning, Deep Learning for threat detection, Large Language Models (LLMs) for phishing and threat intelligence, and Reinforcement Learning (RL) for adaptive cyber defence mechanism. It also explores the necessity of deep learning and natural language processing to malware detection, intrusions identification, logs analysis, and digital crimes investigations with unprecedented speed and accuracy. The chapters provide the implementation details to address governance, privacy, ethics, and the looming challenges of post- quantum cryptography. Through case studies, readers will gain foundational, practical, and futuristic knowledge and actionable insights to enhance cybersecurity operations, perform AI- empowered digital investigations, and develop intelligent systems that are resilient against evolving attacks.

This book is written for both beginners and advanced students working in the area of AI and cybersecurity. Also, it will be useful to policymakers, industry professionals, academics, and researchers in industries who make their prime contributions to the cybersecurity and digital forensics sectors.

Suresh Chavhan is Assistant Professor in the School of Data Science at the Indian Institute of Science Education and Research (IISER), Thiruvananthapuram, India. Before this, he served as an assistant professor at IIIT Raichur, Karnataka; IIIT Kottayam, Kerala; and VIT Vellore, Tamil Nadu. His research interests include AI-assisted B5G/ 6G wireless communication and networking, network slicing, AI/ ML/ deep and federated learning, edge intelligence, V2X, drone communication systems, next- generation intelligent transportation systems, edge/ fog/ cloud computing, and real- time intelligent systems.

Deepak Gupta received his BTech degree in 2006 from Guru Gobind Singh Indraprastha University, Delhi, India. He received his ME degree in 2010 from Delhi Technological University, India, and PhD degree in 2017 from Dr. APJ Abdul Kalam Technical University (AKTU), Lucknow, India.

Sesha Sai Sravanthi Valiveti is an independent researcher based in Dallas, Texas, with over eight years of experience in software engineering, cloud- native architectures, and artificial intelligence (AI), working from web security frameworks to modernising large- scale applications. Through her work, she demonstrates how AI and scalable cloud technologies help close security gaps, strengthen system dependability, and aid forensic analysis in challenging settings. As an editor of AI for Cybersecurity and Digital Forensics, she brings expertise in bridging AI- driven innovation with the evolving demands of cybersecurity and investigative practices.

Sai Raghavendra Varanasi has extensive experience coordinating release cycles, managing change processes, and guiding large migration initiatives across on premises and cloud platforms with 14 years in software change and release management. He integrates DevOps automation, predictive analytics, and intelligent workflows to streamline deployments, strengthen reliability, and reduce operational risks. A key focus of his work is embedding security into release management, ensuring that systems remain compliant, resilient, and protected throughout the software lifecycle. As an editor of AI for Cybersecurity and Digital Forensics, he applies this background to explore how secure release engineering, automation, and AI can reinforce system security and resilience.

Sarada Prasad Gochhayat received his BTech degree in ECE from ITER, SOA University, Bhubaneswar, MTech degree in Signal Processing from the Indian Institute of Technology (IIT) Guwahati, and PhD degree in Communication Engineering from the Indian Institute of Science, Bengaluru. He has past working experience as a faculty member at Villanova University, Villanova, PA, USA; Old Dominion University, Norfolk, VA, USA; Manipal University, India; and CGU, Bhubaneswar, India; and a postdoctoral research experience at the University of Padua, Italy; and the Virginia Modeling, Analysis, and Simulation Center, Suffolk, VA, USA. He is currently an assistant professor at the Indian Institute of Technology, Jammu, India. His research interests include blockchain, privacy in cloud computing, privacy- preserving data analytics, security and privacy in health- care systems, and security in the Internet of Things (IoT) and 5G networks.