Skip to Main Content
Secure Data Provenance and Inference Control with Semantic Web
book

Secure Data Provenance and Inference Control with Semantic Web

by Bhavani Thuraisingham, Tyrone Cadenhead, Murat Kantarcioglu, Vaibhav Khadilkar
August 2014
Intermediate to advanced content levelIntermediate to advanced
478 pages
13h 49m
English
Auerbach Publications
Content preview from Secure Data Provenance and Inference Control with Semantic Web
350Secure Data Provenance and Inference Control
24.3 Directions for Secure Data Provenance
and Inference Control
ere are many directions for secure data provenance and inference control. We
discuss some of them for each topic addressed in this book. Figure 24.3 illustrates
the directions and challenges.
With respect to the discussion in Section II, the major challenges include devel-
oping appropriate security models for provenance data. Our focus was mainly on
RBAC. Furthermore, the provenance data were represented as RDF graphs. e
questions that need to be addressed include, What are the most suitable security
models? Should we explore ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Protecting Data Privacy Beyond the Trusted System of Record

Protecting Data Privacy Beyond the Trusted System of Record

Bill White, Mark Moore, Phillip Wilson, Eva Yan
The Privacy Engineer's Manifesto: Getting from Policy to Code to QA to Value

The Privacy Engineer's Manifesto: Getting from Policy to Code to QA to Value

Michelle Finneran Dennedy, Jonathan Fox, Thomas R. Finneran

Publisher Resources

ISBN: 9781466569430