Intelligent Data-Driven Techniques for Security of Digital Assets
eBook - ePub

Intelligent Data-Driven Techniques for Security of Digital Assets

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

Intelligent Data-Driven Techniques for Security of Digital Assets

About this book

The book covers the role of emerging technologies such as blockchain technology, machine learning, IoT, cryptography, etc., in digital asset management. It further discusses digital asset management applications in different domains such as healthcare, travel industry, image processing, and our daily life activities to maintain privacy and confidentiality.

This book:

• Discusses techniques for securing and protecting digital assets in collaborative environments, where multiple organizations need access to the same resources.

• Explores how artificial intelligence can be used to automate the management of digital assets, and how it can be used to improve security and privacy.

• Explains the role of emerging technology such as blockchain technology for transforming conventional business models.

• Highlights the importance of machine learning techniques in maintaining the privacy and security of data.

• Covers encryption and decryption techniques, their advantages and role in improving the privacy of data.

The text is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, computer science and engineering, information technology, and business management.

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Yes, you can access Intelligent Data-Driven Techniques for Security of Digital Assets by Arun Kumar Rana,Sumit Kumar Rana,Vishnu Sharma,Ritu Dewan in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Computer Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Half Title page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Contents
  7. About the Editors
  8. Contributors
  9. Chapter 1 Integrating emerging technologies for digital asset management
  10. Chapter 2 Transforming healthcare ecosystems with AI-based digital asset management
  11. Chapter 3 Image encryption decryption using hybrid cryptography
  12. Chapter 4 Securing digital assets: An intelligent fusion of data-driven approaches
  13. Chapter 5 AI-driven digital asset management revolutionizing healthcare ecosystem
  14. Chapter 6 Smart security practices: Harnessing data-driven techniques for digital asset protection
  15. Chapter 7 Integration of blockchain technology with travel industry: A comprehensive analysis
  16. Chapter 8 Intelligent data mining techniques: RBF neural network-based intelligent optimal control and adaptive bound for collaborative robot manipulators grasping an object
  17. Chapter 9 Emerging trends of machine learning and Internet of Things-based applications in day-to-day life
  18. Chapter 10 Skill verification system using blockchain: Architecture, challenges and proposed model
  19. Chapter 11 Integration of blockchain technology for digital asset management
  20. Chapter 12 Advanced video steganography: Integrating edge detection with identical match approaches for optimal data hiding
  21. Chapter 13 Machine learning techniques for IoT applications in healthcare: Intelligent data-drive flow
  22. Chapter 14 Integration of emerging technologies for digital asset management
  23. Chapter 15 Secure and intelligent data-driven technique with IPv6 in Internet of Things applications
  24. Index