An authorization mechanism for a relational database system
ACM Transactions on Database Systems (TODS)
Provenance-aware storage systems
ATEC '06 Proceedings of the annual conference on USENIX '06 Annual Technical Conference
Introducing secure provenance: problems and challenges
Proceedings of the 2007 ACM workshop on Storage security and survivability
From computation models to models of provenance: the RWS approach
Concurrency and Computation: Practice & Experience - The First Provenance Challenge
Automatic generation of workflow provenance
IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data
Provenance collection support in the kepler scientific workflow system
IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data
A model for user-oriented data provenance in pipelined scientific workflows
IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data
Issues in automatic provenance collection
IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data
Security issues in a SOA-Based provenance system
IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data
Tracking Files in the Kepler Provenance Framework
SSDBM 2009 Proceedings of the 21st International Conference on Scientific and Statistical Database Management
Grouping Provenance Information to Improve Efficiency of Access Control
ISA '09 Proceedings of the 3rd International Conference and Workshops on Advances in Information Security and Assurance
The Foundations for Provenance on the Web
Foundations and Trends in Web Science
Tracing where and who provenance in Linked Data: A calculus
Theoretical Computer Science
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Workflow management systems are increasingly being used to automate scientific discovery. Provenance meta-data is collected about scientific workflows, processes, simulations and data to add value. There is a variety of workflow management tools that cater to this. The provenance information may have as much value as the raw data. Typically, sensitive information produced by a computational processes or experiments is well guarded. However, this may not necessarily be true when it comes to provenance information. The issue is how to share confidential provenance information. We present a model for sharing provenance information when the confidentiality level is decided by the user dynamically. The key feature of this model is the Query Sharing concept. We illustrate the model for workflows implemented using provenance enabled Kepler system.