Home Book Intelligent Cyber Defense: AI, Autonomus Systmes and the Future of Digital Security
Keywords
AI in cybersecurity, machine learning for intrusion detection, deep learning in cyber defense, Advanced Persistent Threat (APT) detection, federated learning in cybersecurity, DDoS attack detection using AI, XGBoost for cybersecurity analytics, behavioral biometrics authentication, AI-based threat hunting systems, intelligent honeypot systems, malware classification using machine learning, reinforcement learning in cyber defense, AI-powered Security Operations Center (SOC), Zero Trust architecture with AI, IoT cybersecurity solutions, cloud security with artificial intelligence, explainable AI in cybersecurity, synthetic data for cybersecurity training, metaverse cybersecurity protection, autonomous cyber defense systems
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<p style="text-align:justify">I<strong>ntelligent Cyber Defense: AI, Autonomous Systems, and the Future of Digital Security</strong> 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 paradigm—intelligence-driven, adaptive, and trustworthy cyber defense systems—capable of anticipating, learning from, and responding to evolving threats in real time.</p>
<p style="text-align:justify">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.</p>
<p style="text-align:justify">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.</p>
<p style="text-align:justify">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.</p>
