Secure Abstraction Views for Scientific Workflow Provenance Querying

bstraction Views for Scientific Workflow Provenance Querying Artem Chebotko, Member, IEEE, Shiyong Lu, Senior Member, IEEE, Seunghan Chang, Farshad Fotouhi, Member, IEEE, and Ping Yang, Member, IEEE Provenance has become increasingly important in scientific workflows and services computing to capture the derivation history of a data product, including the original data sources, intermediate data products, and the steps that were applied to produce the data product. In many cases, both scientific results and the used protocol are sensitive and effective access control mechanisms are essential to protect their confidentiality. In this paper, we propose: 1) a formal scientific workflow provenance model as the basis for querying and access control for workflow provenance; 2) a security model for fine-grained access control for multilevel provenance and an algorithm for the derivation of a full security specification based on inheritance, overriding, and conflict resolution; 3) a formalizat...

• Type: Journal
• Year: 2010
• Where: TSC
• Authors: Artem Chebotko, Shiyong Lu, Seunghan Chang, Farshad Fotouhi, Ping Yang
• Keywords: Artificial Intelligence, Data Product, Scientific Workflow Provenance, TSC 2010, Workflow Provenance