A Model for Sharing of Confidential Provenance Information in a Query Based System

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Abstract

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.