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Intelligent Cybersecurity in the AI-IoT Era
Intelligent Cybersecurity in the AI-IoT Era
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This book explores cybersecurity in the age of AI and IoT, delving into next-generation threats and intelligent defense mechanisms. Bridging foundational knowledge with real-world applications, it provides a comprehensive roadmap for researchers, academicians, and industry professionals striving to secure evolving digital landscapes.With the rapid convergence of smart technologies, cyber-physical systems and machine learning algorithms, traditional approaches to cybersecurity are no longer suff…
  • Leidėjas:
  • Metai: 2026
  • Puslapiai: 252
  • ISBN-10: 1041212119
  • ISBN-13: 9781041212119
  • Kalba: Anglų

Intelligent Cybersecurity in the AI-IoT Era (el. knyga) (skaityta knyga) | knygos.lt

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This book explores cybersecurity in the age of AI and IoT, delving into next-generation threats and intelligent defense mechanisms. Bridging foundational knowledge with real-world applications, it provides a comprehensive roadmap for researchers, academicians, and industry professionals striving to secure evolving digital landscapes.

With the rapid convergence of smart technologies, cyber-physical systems and machine learning algorithms, traditional approaches to cybersecurity are no longer sufficient. This book introduces advanced topics such as federated learning, post-quantum cryptography, blockchain security, zero trust architectures, and anomaly detection using deep learning models. Structured in four thematic sections-foundations, intelligent threats and defences, applications, and advanced research-the chapters are authored by global experts and enriched with case studies from critical sectors like healthcare, smart cities, and autonomous systems.

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  • Leidėjas:
  • Metai: 2026
  • Puslapiai: 252
  • ISBN-10: 1041212119
  • ISBN-13: 9781041212119
  • Kalba: Anglų

This book explores cybersecurity in the age of AI and IoT, delving into next-generation threats and intelligent defense mechanisms. Bridging foundational knowledge with real-world applications, it provides a comprehensive roadmap for researchers, academicians, and industry professionals striving to secure evolving digital landscapes.

With the rapid convergence of smart technologies, cyber-physical systems and machine learning algorithms, traditional approaches to cybersecurity are no longer sufficient. This book introduces advanced topics such as federated learning, post-quantum cryptography, blockchain security, zero trust architectures, and anomaly detection using deep learning models. Structured in four thematic sections-foundations, intelligent threats and defences, applications, and advanced research-the chapters are authored by global experts and enriched with case studies from critical sectors like healthcare, smart cities, and autonomous systems.

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