Klappentext

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.

Inhalt

Chapter 1 Artificial Intelligence for Cybersecurity-Fundamentals and Evaluation

Rasmita Kumari Mohanty, Satya Prakash Sahoo, Manas Ranjan Kabat, and Basim Alhadidi

Chapter 2 Predicting Tomorrow's Threats: A Legal Framework for AI Based Predictive Analytics in Cybersecurity

Sarvesh Nimbulkar and Souradeep Rakshit

Chapter 3 The Invisible Defence: Detecting ZeröDay Threats with AI

Debojyoti Gupta

Chapter 4 Fusion of Deep Architectures in Intent Driven Networks for Intrusion Detection

Obinna Johnbosco Awoke, Rajesh Prasad, Ndubuisi Godcares, and Najeeb Saiyed

Chapter 5 An In depth Analysis of Intrusion Detection Systems with an Emphasis on Multi Access Edge Computing and Machine Learning

Shruti Saxena and Nikunj Tahilramani

Chapter 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 Bedekar

Chapter 7 Multi Factor Authentication for Smart Internet Transactions

B. Madhu, B.N. Shubhada, and Shubham Kumar Saras

Chapter 8 Adaptive Machine Learning Strategies for Next Generation Botnet Host Detection

Aniket Jhariya, Dhvani Parekh, Anurag Mogal, Joshua Lobo, and Mangal Singh

Chapter 9 Artificial Intelligence Based Cybercrime Prevention and Data Security

Srinivasa Rao Gundu, Panem Charanarur, and J. Vijaylaxmi

Chapter 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