Harnessing the Power of Artificial Intelligence for Cybersecurity and Digital Forensics Herausgeber: Kumar, Ahlad; Kumar Chaudhary, Naveen; Singh, Mangal; Shastri, Apoorva S; Kulkarni, Anand J.
Harnessing the Power of Artificial Intelligence for Cybersecurity and Digital Forensics Herausgeber: Kumar, Ahlad; Kumar Chaudhary, Naveen; Singh, Mangal; Shastri, Apoorva S; Kulkarni, Anand J.
This book offers a groundbreaking exploration of how Artificial Intelligence is revolutionizing cybersecurity and digital forensics. It covers a wide range of topics, from AI-based threat detection and zero-day vulnerability defense to legal frameworks and ethical considerations in cybercrime investigations.
This book offers a groundbreaking exploration of how Artificial Intelligence is revolutionizing cybersecurity and digital forensics. It covers a wide range of topics, from AI-based threat detection and zero-day vulnerability defense to legal frameworks and ethical considerations in cybercrime investigations.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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
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
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