AI for Cybersecurity and Digital Forensics

Chapter 1 AI Requirements for Cybersecurity Practitioners Chapter 2 ML-based Attack Detection and Management Chapter 3 Deep Neural Networks for Intrusion Analysis Chapter 4 LLMs for Threat and Phishing Detection  Chapter 5 RL-based Adaptive Cyber Defence System Chapter 6 GNN-Based Social Media Forensics Chapter 7 AI-Integrated Digital Twin Forensics Chapter 8 Explainable AI and Governance Chapter 9 Post-Quantum Cryptography & Future Trends Chapter 10 Post-Quantum Cryptography and Its Implementation: Evolution, Standards, and Applications Chapter 11 AI-Driven Cyber Security for 5G/6G Networks and Multi-Tenant Telecom Platforms

Biography

Suresh Chavhan is an 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.

Dr. Deepak Gupta received a B.Tech. Degree in 2006 from the Guru Gobind Singh Indraprastha University, Delhi, India. He received an M.E. degree in 2010 from Delhi Technological University, India, and Ph. D. 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, working from web security frameworks to modernizing 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 AI for Cybersecurity and Digital Forensics editor, 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 the B.Tech. degree in ECE from ITER, SOA University, Bhubaneswar, the M.Tech. degree in signal processing from IIT Guwahati, and the Ph.D. degree in communication engineering from 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 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 IoT and 5G networks.