Ahlad Kumar is currently serving as an Assistant Professor at the National Forensic Sciences University (Institute of National Importance) (Under the Home Ministry), Gandhinagar. Dr. Kumar has several papers published in well-renowned journals, including those of IEEE. His areas of interest include machine learning, deep learning, reinforcement learning, and analog design.Naveen Kumar Chaudhary is a distinguished Professor of Cyber Security and Dean at the National Forensic Sciences University, Gandhinagar, India. He also heads the Training and International Relations Department and serves as Director of the NFSU, Goa Campus. Dr. Chaudhary has been recently appointed as a Courtesy Research Professor at Florida International University, Miami, USA. He held several key roles in the Government of India, including Director at the Ministry of External Affairs. Dr. Chaudhary has made significant contributions to policy formulation, ICT projects, and cybersecurity education globally. Apoorva S Shastri holds a PhD in Optimization Algorithms and Applications from Symbiosis International (Deemed University). Currently, she is a Research Assistant Professor at Institute of Artificial Intelligence at the Dr Vishwanath Karad MITWPU, Pune, India. Her research interests include optimization algorithms, VLSI design, multi-objective optimization, continuous, discrete, and combinatorial optimization, complex systems, manufacturing, and self-organizing systems.Mangal Singh is working as an Associate Professor, Electronics & Telecommunication Engineering at Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune. He has an experience of more than 23 years in the field of Teaching, Research and Administration. He is a Senior Member of IEEE and life member of the IETE and ISTE, India.Anand J Kulkarni holds a PhD in Optimization from Nanyang Technological University, Singapore, MS in AI from University of Regina, Canada. He worked as Research Fellow at University of Windsor, Canada. He is the founder of OAT Research Lab and has published over 80 research papers along with 23 books.

• Chapter 1 ◾ Artificial Intelligence for Cybersecurity—Fundamentals and Evaluation Rasmita Kumari Mohanty, Satya Prakash Sahoo, Manas Ranjan Kabat, and Basim AlhadidiChapter 2 ◾ Predicting Tomorrow’s Threats: A Legal Framework for AI‑Based Predictive Analytics in CybersecuritySarvesh Nimbulkar and Souradeep RakshitChapter 3 ◾ The Invisible Defence: Detecting Zero‑Day Threats with AI Debojyoti GuptaChapter 4 ◾ Fusion of Deep Architectures in Intent‑Driven Networks for Intrusion Detection Obinna Johnbosco Awoke, Rajesh Prasad, Ndubuisi Godcares, and Najeeb SaiyedChapter 5 ◾ An In‑depth Analysis of Intrusion Detection Systems with an Emphasis on Multi‑Access Edge Computing and Machine Learning Shruti Saxena and Nikunj TahilramaniChapter 6 ◾ The Legal and Ethical Crossroads of Artificial Intelligence in Cybersecurity and Digital Forensics Gyanendra Tiwari, Khushi Pandey, Manali Desai, Vinayak Musale, Dhanashri Wategaonkar, and Mangesh BedekarChapter 7 ◾ Multi‑Factor Authentication for Smart Internet TransactionsB. Madhu, B.N. Shubhada, and Shubham Kumar SarasChapter 8 ◾ Adaptive Machine Learning Strategies for Next‑Generation Botnet Host DetectionAniket Jhariya, Dhvani Parekh, Anurag Mogal, Joshua Lobo, and Mangal SinghChapter 9 ◾ Artificial Intelligence‑Based Cybercrime Prevention and Data Security Srinivasa Rao Gundu, Panem Charanarur, and J. VijaylaxmiChapter 10 ◾ Insight into How Legal and Ethical Consideration Improve Artificial Intelligence Capabilities to Enhance the Performance of Cyber Forensic Accounting Pham Quang Huy and M.A. Vu Kien Phuc

Ahlad Kumar is currently serving as an Assistant Professor at the National Forensic Sciences University (Institute of National Importance) (Under the Home Ministry), Gandhinagar. Dr. Kumar has several papers published in well-renowned journals, including those of IEEE. His areas of interest include machine learning, deep learning, reinforcement learning, and analog design.Naveen Kumar Chaudhary is a distinguished Professor of Cyber Security and Dean at the National Forensic Sciences University, Gandhinagar, India. He also heads the Training and International Relations Department and serves as Director of the NFSU, Goa Campus. Dr. Chaudhary has been recently appointed as a Courtesy Research Professor at Florida International University, Miami, USA. He held several key roles in the Government of India, including Director at the Ministry of External Affairs. Dr. Chaudhary has made significant contributions to policy formulation, ICT projects, and cybersecurity education globally. Apoorva S Shastri holds a PhD in Optimization Algorithms and Applications from Symbiosis International (Deemed University). Currently, she is a Research Assistant Professor at Institute of Artificial Intelligence at the Dr Vishwanath Karad MITWPU, Pune, India. Her research interests include optimization algorithms, VLSI design, multi-objective optimization, continuous, discrete, and combinatorial optimization, complex systems, manufacturing, and self-organizing systems.Mangal Singh is working as an Associate Professor, Electronics & Telecommunication Engineering at Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune. He has an experience of more than 23 years in the field of Teaching, Research and Administration. He is a Senior Member of IEEE and life member of the IETE and ISTE, India.Anand J Kulkarni holds a PhD in Optimization from Nanyang Technological University, Singapore, MS in AI from University of Regina, Canada. He worked as Research Fellow at University of Windsor, Canada. He is the founder of OAT Research Lab and has published over 80 research papers along with 23 books.

• Chapter 1 ◾ Artificial Intelligence for Cybersecurity—Fundamentals and Evaluation Rasmita Kumari Mohanty, Satya Prakash Sahoo, Manas Ranjan Kabat, and Basim AlhadidiChapter 2 ◾ Predicting Tomorrow’s Threats: A Legal Framework for AI‑Based Predictive Analytics in CybersecuritySarvesh Nimbulkar and Souradeep RakshitChapter 3 ◾ The Invisible Defence: Detecting Zero‑Day Threats with AI Debojyoti GuptaChapter 4 ◾ Fusion of Deep Architectures in Intent‑Driven Networks for Intrusion Detection Obinna Johnbosco Awoke, Rajesh Prasad, Ndubuisi Godcares, and Najeeb SaiyedChapter 5 ◾ An In‑depth Analysis of Intrusion Detection Systems with an Emphasis on Multi‑Access Edge Computing and Machine Learning Shruti Saxena and Nikunj TahilramaniChapter 6 ◾ The Legal and Ethical Crossroads of Artificial Intelligence in Cybersecurity and Digital Forensics Gyanendra Tiwari, Khushi Pandey, Manali Desai, Vinayak Musale, Dhanashri Wategaonkar, and Mangesh BedekarChapter 7 ◾ Multi‑Factor Authentication for Smart Internet TransactionsB. Madhu, B.N. Shubhada, and Shubham Kumar SarasChapter 8 ◾ Adaptive Machine Learning Strategies for Next‑Generation Botnet Host DetectionAniket Jhariya, Dhvani Parekh, Anurag Mogal, Joshua Lobo, and Mangal SinghChapter 9 ◾ Artificial Intelligence‑Based Cybercrime Prevention and Data Security Srinivasa Rao Gundu, Panem Charanarur, and J. VijaylaxmiChapter 10 ◾ Insight into How Legal and Ethical Consideration Improve Artificial Intelligence Capabilities to Enhance the Performance of Cyber Forensic Accounting Pham Quang Huy and M.A. Vu Kien Phuc