Intelligent Cyber Defense

AI, Autonomus Systmes and the Future of Digital Security

AvC Kishor Kumar Reddy,Amrutha Muralidharan Nair

Inbunden, Engelska, 2026

1 962 kr

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Beskrivning

Intelligent Cyber Defense: AI, Autonomous Systems, and the Future of Digital Security presents a comprehensive and multidisciplinary exploration of how artificial intelligence is redefining modern cybersecurity. As cyber threats grow in scale, complexity, and autonomy, conventional rule-based and signature-driven security mechanisms are increasingly inadequate. This book advances a new paradigmintelligence-driven, adaptive, and trustworthy cyber defense systemscapable of anticipating, learning from, and responding to evolving threats in real time.The volume brings together cutting-edge research and applied perspectives across key domains, including AI-enabled threat detection, reinforcement learning-based defense systems, federated and privacy-preserving learning, explainable artificial intelligence, behavioral biometrics, intelligent honeypots, malware evolution analysis, and AI-powered Security Operations Centers. Emerging application areas such as cloud security, Internet of Things (IoT) protection, zero-trust architectures, synthetic data generation, and metaverse security are examined in depth, reflecting the expanding digital attack surface of contemporary cyber ecosystems.Special emphasis is placed on trust, transparency, ethics, and governance, addressing critical challenges such as model explainability, data privacy, bias mitigation, regulatory compliance, and responsible AI deployment. Through theoretical foundations, real-world case studies, benchmark datasets, and future outlooks, the book bridges the gap between academic research and operational cybersecurity practice.Designed for researchers, postgraduate students, cybersecurity professionals, system architects, and policymakers, this edited volume serves as both a reference and a roadmap for building resilient, intelligent, and ethically grounded cyber defense infrastructures. It is a timely contribution for those seeking to understand and shape the future of AI-enabled cybersecurity in an increasingly interconnected and automated digital world.

Produktinformation

Utgivningsdatum:2026-06-20
Mått:152 x 229 x undefined mm
Vikt:1 600 g
Format:Inbunden
Språk:Engelska
Antal sidor:516
Förlag:New India Publishing Agency
ISBN:9789372197044

Utforska kategorier

Informationsteknik: allmänt inom Data och IT
IT-säkerhet inom Data och IT
Systemvetenskap och AI inom Data och IT

Innehållsförteckning

Chapter 1.Foundations of AI-Powered Cybersecurity:Integrating Machine Learning with Traditional Defense ArchitecturesChapter 2.The Role of Deep Learning in Identifying and Mitigating Advanced Persistent Threats (APTs)Chapter 3.Reinforcement Learning Techniques for Enhancing CyberChapter 4.Federated Learning in Cybersecurity: Enabling Privacy-Preserving Intrusion Detection System Across Distributed EnvironmentsChapter 5.A Comprehensive Framework for DDoS Intrusion Detection Using CICIDS 2017 Through Preprocessing, Modeling and Explainability with XGBoost and CICIDS 2017Chapter 6.AI-Driven Behavioural Biometrics for Continuous User Authentication and Fraud PreventionChapter 7.AI-Augmented Threat Hunting- Leveraging Predictive Models for Cyber DefenceChapter 8.Intelligent Honeypots: AI Techniques for Deception,Attack Attribution, and Intrusion AnalysisChapter 9.Machine Learning for Malware Classification and Evolutionary Threat AnalysisChapter 10.The Application of Reinforcement Learning in Dynamic Cyber Defense and Intrusion PreventionChapter 11.AI-Powered Security Operations Centers (SOCs):Redefining Cyber Defense through Automation and IntelligenceChapter 12.Ethical Implications and Policy Considerations of Using Artificial Intelligence in Cybersecurity Domains. Chapter 13.Zero Trust Architecture and AI: Building Self-Adaptive Security Ecosystems for Enterprise EnvironmentsChapter 14.Autonomous Cyber Defense Agents: Opportunities and Challenges in Building AI-Driven Self- Defending SystemsChapter 15.Securing the Internet of Things (IoT) using Lightweight AI Models and Distributed Intelligence MechanismsChapter 16.AI in Cloud Security: Threat Detection, Compliance Monitoring, and Intelligent Response AutomationChapter 17.Synthetic Data Generation for Training AI Cybersecurity Models: Methods, Applications, and LimitationsChapter 18.Cybersecurity in the Metaverse: Leveraging AI to Safeguard Extended Reality (XR) Environments and Digital AvatarsChapter 19.Transparent and Distributed Cyber Defense: Integrating Explainable AI with Federated Learning