AI-Enabled Digital Forensics and Cybersecurity

Impacts and Potentials for the Future
1. Auflage 2027
ISBN: 978-1-041-27525-1
Verlag: Taylor & Francis Ltd

Buch, Englisch, 354 Seiten, Format (B × H): 178 mm x 254 mm

This book discusses the transformative role of Artificial Intelligence in strengthening digital investigations and cybersecurity. It also examines how AI, machine learning, deep learning, and intelligent automation can support threat detection, malware analysis, anomaly identification, evidence collection, incident response, and cybercrime investigation in real world applications. It addresses emerging challenges including adversarial attacks, deepfakes, privacy concerns, explainable AI, and ethical issues in automated forensic decision-making. This book also highlights future opportunities through generative AI, blockchain, IoT, cloud forensics, and intelligent security frameworks, thus providing researchers, professionals, and students with valuable insights into the evolving cybersecurity landscape.

Zielgruppe

Academic, Postgraduate, Undergraduate Advanced, and Undergraduate Core

Autoren/Hrsg.

Tyagi, Amit Kumar

Kumar, Rajesh

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion
• Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik

Inhaltsverzeichnis

Preface. Acknowledgement. AI-Enabled Digital Forensics and Cybersecurity: Future Impacts and Possibilities. Transforming Digital Forensics with Artificial Intelligence. AI Forensics: Deepfake Detection and Cybercrime Prevention. The Rise of Explainable AI for Deepfake Detection and Digital Media Forensics: A Bibliometric Insight. Predictive Artificial Intelligence for Proactive Threat Detection and Incident Analysis in Cybersecurity and Digital Forensics. Blockchain-Based IoT Healthcare Data Privacy Enhancement Technique Using Hybrid SVM and LR Approach. AI and Machine Learning for Smart Cybersecurity and Digital Forensics. Artificial Intelligence for Cybercrime Investigation and Forensics. Secure Smart and Swift E-Voting System Using Blockchain Technology. Blockchain-Based Dynamic Password Generation Using Grid Authentication System. Case Studies of Major Cyberterrorism Incidents. Cyber Security and Forensics with AI-IoT Technologies for the Modern Era. Next-Generation Cybersecurity and Forensics With AI Technologies. Future Perspectives on Digital Forensics and Cyber Security. Future Perspectives on AI-Driven Non-Numerical Signal Analysis for Enhanced Digital Forensics and Cybersecurity Systems. Security Risks: Prompt Injection, Data Leakage, and Adversarial Attacks. Ethical and Legal Dimensions of AI in Digital Forensics and Cybersecurity. AI and Cyber Security in Forensic Science. AI and ML for Smart Cybersecurity and Digital Forensics. Blockchain Technology: Past, Present and Future. Autonomous Forensic Systems Enabled by AI in Cybersecurity. An AI System for Cybercrime Investigation Utilizing an Autoencoder Transformer Model With SHAP-Based Interpretability. Index.

Über Autor(innen)

Amit Kumar Tyagi is an Assistant Professor, at National Forensic Sciences University, Gandhinagar, Gujarat, India. He received his Ph.D. Degree (Full-Time) in 2018 from Pondicherry Central University, 605014, Puducherry, India. In terms of his academic experience, he has worked as an assistant professor at several institutes like Lord Krishna College of Engineering (LKCE), Ghaziabad (July 2009–July 2010, October 2012–October 2013), Lingaya’s Vidyapeeth (formerly known as Lingaya’s University), Faridabad (September 2018–May 2019), VIT Chennai (June 2019-November 2022) and NIFT New Delhi (November 2022–September 2025). His supervision experience includes more than 10 masters' dissertations and one Ph.D. thesis. He has contributed to several projects such as “AARIN” and “P3-Block”, which address open issues related to the privacy breaches in Vehicular Applications (such as Parking) and Medical Cyber Physical Systems (MCPS). He has published more than 60 edited and authored books and collaborated with eminent professors across the world from top QS ranked universities. He has also published over 400 research articles in refereed high impact journals, conferences and books, and some of his articles have received the best paper awards. He has also filed more than 15 patents (Nationally and Internationally) in the areas of Deep Learning, Internet of Things, Cyber Physical Systems and Computer Vision. He received the Faculty Research Award for three consecutive years (2020, 2021 and 2022 from Vellore Institute of Technology, Chennai, Tamil Nadu, India. His current research focuses on next generation machine based communications, blockchain technology, smart and secure computing and privacy. He is a senior member of IEEE.

Rajesh Kumar (Member, ACM) received a B. Tech. in electrical engineering from Indian Institute of Technology, Kharagpur, India and M. Tech. in electronics design and technology from Indian Institute of Science, Bangalore, India. He has completed his Ph.D. in computer science at Vellore Institute of Technology, Chennai campus, India.

He has 25 years of telecommunications industry experience with companies such as Indian Telephone Industry, IBM, Cisco, Lucent Technologies, and Alcatel-Lucent etc. He has been associated with the School of Computer Science and Engineering at Vellore Institute of Technology, Chennai, India as an associate professor for last 13 years. His research interests include computer networks, cyber security, digital forensics, malware analysis, machine learning, explainable artificial intelligence, reinforcement learning, and Internet of Things (IoT).

Mr. Kumar has received many industry level awards and recognitions. He has published papers in international journals and conferences in domain of malware detection and classification.