Visible to the public Securing Scientific Workflows

TitleSecuring Scientific Workflows
Publication TypeConference Proceedings
Year of Publication2015
AuthorsKim, Donghoon, Vouk, Mladen
Conference Name2015 IEEE International Conference on Software Quality, Reliability and Security (QRS)
Pagination95-104
Date Published2015
PublisherIEEE
Conference LocationVancouver, Canada
KeywordsVulnerability and Resilience Prediction Models
Abstract

This paper investigates security of Kepler scientificbworkflow engine. We are especially interested in Kepler-based scientific workflows that may operate in cloud environments. We find that (1) three security properties (i.e., input validation, remote access validation, and data integrity) are essential for making Kepler-based workflows more secure, and (2) that use of the Kepler provenance module may help secure Keplerbased workflows. We implemented a prototype security enhanced Kepler engine to demonstrate viability of use of the Kepler provenance module in provision and management of the desired security properties.

DOIDOI: 10.1109/QRS-C.2015.25
Citation Keynode-21185
Refereed DesignationRefereed