Digital Defence

Harnessing the Power of Artificial Intelligence for Cybersecurity and Digital Forensics
1. Auflage 2025
ISBN: 978-1-032-69811-3
Verlag: Taylor & Francis Ltd (Sales)

Buch, Englisch, 188 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 544 g

This book aims to provide a comprehensive overview of the applications of Artificial Intelligence (AI) in the area of Cybersecurity and Digital Forensics. The various chapters of this book are written to explore how cutting-edge technologies can be used to improve the detection, prevention, and investigation of cybercrime and help protect digital assets.

Digital Defence covers an overview of deep learning and AI techniques and their relevance to cybersecurity and digital forensics, discusses common cyber threats and vulnerabilities, and how deep learning and AI can detect and prevent them. It focuses on how deep learning/artificial learning techniques can be used for intrusion detection in networks and systems, analyze and classify malware, and identify potential sources of malware attacks. This book also explores AI’s role in digital forensics investigations, including data recovery, incident response and management, real-time monitoring, automated response analysis, ethical and legal considerations, and visualization. By covering these topics, this book will provide a valuable resource for researchers, students, and cybersecurity and digital forensics professionals interested in learning about the latest advances in deep learning and AI techniques and their applications.

Zielgruppe

Academic, Postgraduate, and Professional Practice & Development

Autoren/Hrsg.

Kumar, Ahlad

Kumar Chaudhary, Naveen

Shastri, Apoorva S

Singh, Mangal

Kulkarni, Anand J.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke

Inhaltsverzeichnis

Preface. Editor Biographies. Chapter 1 Artificial Intelligence for Cyber security– Fundamentals and Evaluation. Chapter 2 Predicting tomorrow’s Threats: A Legal Framework for AI-Based Predictive Analytics in Cyber security. Chapter 3 The Invisible Defence: Detecting Zero-Day Threats with AI. Chapter 4 Fusion of Deep Architectures in Intent-Driven Networks for Intrusion Detection. Chapter 5 An In-depth Analysis of Intrusion Detection Systems with an Emphasis on Multi-Access Edge Computing and Machine Learning. Chapter 6 The Legal and Ethical Crossroads of Artificial Intelligence in Cybersecurity and Digital Forensics. Chapter 7 Multi-factor Authentication for Smart Internet Transactions. Chapter 8 Adaptive Machine Learning Strategies for Next-Generation Botnet Host Detection. Chapter 9 Harnessing the aware of Cyber laws in view of cyber security. Chapter 10 Insight into how legal and ethical consideration improve artificial intelligence capabilities to enhance the performance of cyber forensic accounting

Über Autor(innen)

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.