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AI-Driven Cybersecurity and Threat Intelligence Cyber Automation, Intelligent Decision-Making and Explainability /

This book explores the dynamics of how AI (Artificial Intelligence) technology intersects with cybersecurity challenges and threat intelligence as they evolve. Integrating AI into cybersecurity not only offers enhanced defense mechanisms, but this book introduces a paradigm shift illustrating how on...

Повний опис

Збережено в:
Бібліографічні деталі
Автор: Sarker, Iqbal H. (Автор)
Співавтор: SpringerLink (Online service)
Формат: Електронний ресурс eКнига
Мова:Англійська
Опубліковано: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Редагування:1st ed. 2024.
Предмети:
Computer networks > Security measures.
Artificial intelligence.
Machine learning.
Mobile and Network Security.
Artificial Intelligence.
Machine Learning.
Онлайн доступ:https://doi.org/10.1007/978-3-031-54497-2
Теги: Додати тег
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Зміст:
  • Part I Preliminaries
  • 1. Introduction to AI-Driven Cybersecurity and Threat Intelligence
  • 2. Cybersecurity Background Knowledge: Terminologies, Attack Frameworks and Security Life Cycle
  • Part II AI/XAI Methods and Emerging Technologies
  • 3. Learning Technologies: Towards Machine Learning and Deep Learning for Cybersecurity
  • 4. Detecting Anomalies and Multi-Attacks through Cyber Learning: An Experimental Analysis
  • 5. Generative AI for Cybersecurity
  • 6. Cybersecurity Data Science: Towards Advanced Analytics, Knowledge and Rule Discovery for Explainable AI Modeling
  • Part III Real-World Application Areas with Research Issues
  • 7. AI-Enabled Cybersecurity for IoT and Smart City Applications
  • 8. AI for Enhancing ICS/OT Cybersecurity
  • 9. AI for Critical Infrastructure Protection and Resilience
  • 10. CyberAI: A Comprehensive Summary of AI Variants, Explainable and Responsible AI for Cybersecurity.

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