AI-Driven Cloud Forensics
eBook - ePub

AI-Driven Cloud Forensics

Advanced Techniques for Next-Generation Digital Investigations

  1. 318 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

AI-Driven Cloud Forensics

Advanced Techniques for Next-Generation Digital Investigations

About this book

Cloud computing has revolutionized digital infrastructure, but it has also introduced complex forensic challenges that demand intelligent, scalable, and automated investigative solutions. AI-Driven Cloud Forensics: Advanced Techniques for Next-Generation Digital Investigations provides a comprehensive exploration of how artificial intelligence, machine learning, big data analytics, and automation are transforming the future of digital forensics in cloud environments.

This edited volume examines advanced methodologies for forensic acquisition in virtual machines, containers, and ephemeral environments; intelligent cloud architectures for secure investigations; and AI-powered frameworks for anomaly detection, fraud investigation, phishing detection, and log analysis. It highlights emerging approaches such as AutoML-enabled forensic systems, federated learning for communication-efficient anomaly detection, AI-centric privileged access management, and real-time detection of data fabrication attacks in decentralized systems.

Beyond core forensic technologies, the book addresses interdisciplinary applications across smart micro-grids, dark web environments, digital supply chains, tourism systems, and e-discovery processes. By integrating automation with forensic intelligence, the contributors demonstrate how next-generation digital investigations can become more proactive, predictive, and adaptive. Special emphasis is placed on addressing challenges such as data volatility, multi-tenancy, encryption, jurisdictional constraints, and large-scale log analysis in distributed cloud ecosystems. The book also includes a bibliometric and science-mapping analysis to provide insights into evolving research trends in AI-driven cloud forensic automation.

Designed for researchers, cybersecurity professionals, forensic analysts, legal practitioners, cloud architects, and postgraduate students, this volume bridges theoretical foundations with real-world implementations. It serves as a forward-looking reference for building resilient, trustworthy, and AI-enabled forensic ecosystems capable of responding to increasingly sophisticated cyber threats. By combining innovation with investigative rigor, AI-Driven Cloud Forensics contributes to shaping the next generation of intelligent digital security and forensic readiness in cloud-driven environments.

Table of contents

  1. Cover
  2. Half-Title
  3. Title
  4. Copyright
  5. Contents
  6. About the editors
  7. List of contributors
  8. Preface
  9. 1 Introduction to advanced cloud forensics
  10. 2 Intelligent cloud architecture for next-generation digital forensics
  11. 3 Forensic acquisition in ephemeral environments: Virtual machines and containers
  12. 4 Forensic challenges in emerging technologies: AI-driven cloud forensics for next-generation digital investigations
  13. 5 Big data, machine learning, and cloud forensics: An integrated framework for intelligent digital security
  14. 6 AI and automation in cloud forensics
  15. 7 AI and automation in cloud forensics for digital investigations and E-Discovery
  16. 8 AutoML-enabled smart forensic framework for collaborative crime analysis and digital evidence prediction
  17. 9 Advanced network forensics for cloud environments
  18. 10 Federated temporal-attention network for communication-efficient log anomaly detection in IoT environments
  19. 11 Two-tier real-time detection of data fabrication attacks in decentralized smart microgrids
  20. 12 An explanatory view of antisquat: An AI-powered phishing domain finder
  21. 13 Autonomous artificial intelligence systems for fraud detection and forensics in dark web environments
  22. 14 Next-generation privileged access management: An AI-centric perspective
  23. 15 Digital Twin and generative AI synergies: Pioneering smart, predictive, and autonomous supply chain networks
  24. 16 Building trust and transparency in smart tourism through cloud-based forensic readiness
  25. 17 Mapping research trends in AI-driven automation for cloud forensics: A bibliometric analysis and science mapping
  26. Index

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Information

Publisher
CRC Press
Edition
1
Year
2026
Print ISBN
9781041107163
eBook ISBN
9781040999363

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Yes, you can access AI-Driven Cloud Forensics by Pankaj Bhambri,Mudassir Khan,A. Jose Anand in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over 1.5 million books available in our catalogue for you to explore.