Securing Scientific Workflows
| Title | Securing Scientific Workflows |
| Publication Type | Conference Proceedings |
| Year of Publication | 2015 |
| Authors | Donghoon Kim, Mladen A. Vouk |
| Conference Name | IEEE International Conference on Software Quality, Reliability and Security (QRS) - Companion (QRS-C) |
| Pagination | 95-104 |
| Date Published | August 2-5, 2015 |
| Publisher | IEEE |
| Conference Location | Vancouver, Canada |
| Keywords | Resilience Requirements, Design, and Testing |
| Abstract | This paper investigates security of Kepler scientific workflow 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 Kepler based 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. |
| Notes | v4 |
| DOI | , DOI: 10.1109/QRS-C.2015.25 |
| Citation Key | node-24177 |