Securing Scientific Workflows
Title | Securing Scientific Workflows |
Publication Type | Conference Proceedings |
Year of Publication | 2015 |
Authors | Kim, Donghoon, Vouk, Mladen |
Conference Name | 2015 IEEE International Conference on Software Quality, Reliability and Security (QRS) |
Pagination | 95-104 |
Date Published | 2015 |
Publisher | IEEE |
Conference Location | Vancouver, Canada |
Keywords | Vulnerability 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. |
DOI | DOI: 10.1109/QRS-C.2015.25 |
Citation Key | node-21185 |
Refereed Designation | Refereed |