Secure Data Provenance and Inference Control with Semantic Web
eBook - PDF

Secure Data Provenance and Inference Control with Semantic Web

  1. 478 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Secure Data Provenance and Inference Control with Semantic Web

About this book

With an ever-increasing amount of information on the web, it is critical to understand the pedigree, quality, and accuracy of your data. Using provenance, you can ascertain the quality of data based on its ancestral data and derivations, track back to sources of errors, allow automatic re-enactment of derivations to update data, and provide attribu

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Yes, you can access Secure Data Provenance and Inference Control with Semantic Web by Bhavani Thuraisingham,Tyrone Cadenhead,Murat Kantarcioglu,Vaibhav Khadilkar in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Front Cover
  2. Contents
  3. Preface
  4. Acknowledgments
  5. Authors
  6. Permissions
  7. Chapter 1: Introduction
  8. Chapter 2: Security and Provenance
  9. Chapter 3: Access Control and Semantic Web
  10. Chapter 4: The Inference Problem
  11. Chapter 5: Inference Engines
  12. Chapter 6: Inferencing Examples
  13. Chapter 7: Cloud Computing Tools and Frameworks
  14. Chapter 8: Scalable and Efficient RBAC for Provenance
  15. Chapter 9: A Language for Provenance Access Control
  16. Chapter 10: Transforming Provenance Using Redaction
  17. Chapter 11: Architecture for an Inference Controller
  18. Chapter 12: Inference Controller Design
  19. Chapter 13: Provenance Data Representation for Inference Control
  20. Chapter 14: Queries with Regular Path Expressions
  21. Chapter 15: Inference Control through Query Modification
  22. Chapter 16: Inference and Provenance
  23. Chapter 17: Implementing the Inference Controller
  24. Chapter 18: Risk and Inference Control
  25. Chapter 19: Novel Approaches to Handle the Inference Problem
  26. Chapter 20: A Cloud-Based Policy Manager for Assured Information Sharing
  27. Chapter 21: Security and Privacy with Respect to Inference
  28. Chapter 22: Big Data Analytics and Inference Control
  29. Chapter 23: Unifying Framework
  30. Chapter 24: Summary and Directions
  31. Appendix A: Data Management Systems, Developments, and Trends
  32. Appendix B: Database Management and Security
  33. Appendix C: A Perspective of the Inference Problem
  34. Appendix D: Design and Implementation of a Database Inference Controller
  35. Back Cover