A Design-Time Semi-Automatic Approach for Obfuscating a Business Process Model in a Trusted Multi-Cloud Deployment: A Design-Time Approach for BP Obfuscation

Amina Ahmed Nacer, Elio Goettelmann, Samir Youcef, Abdelkamel Tari and Claude Godart
Additional contact information
Amina Ahmed Nacer: LIMED Laboratory, Faculty of Exact Sciences, University of Bejaia, Bejaia, Algeria & LORIA Laboratory, University of Lorraine, Nancy, France
Elio Goettelmann: LIST Luxembourg Institute of Technology and Loria, Luxembourg, Luxembourg
Samir Youcef: LORIA Laboratory, University of Lorraine, Nancy, France
Abdelkamel Tari: LIMED Laboratory, Faculty of Exact Sciences, University of Bejaia, Bejaia, Algeria
Claude Godart: LORIA Laboratory, University of Lorraine Nancy, France

International Journal of Web Services Research (IJWSR), 2018, vol. 15, issue 4, 61-81

Abstract: To enjoy the benefits of cloud computing, organizations managing complex business processes want to outsource their processes. However, as such processes express their know-how and because of the nature of the cloud, they are still reluctant to do so. To prevent such a know-how exposure, this article proposes a design-time approach for obfuscating a BP model by splitting its model into a collaboration of BP fragments semantically equivalent to the initial BP. This breaking down renders the discovery by cloud providers of-the-deep content of a critical fragment, and more of the whole process, much harder when these fragments are deployed in a multi-cloud context. While existing contributions on the topic of BP obfuscation remain at the level of principles, the authors propose an algorithm supporting automatically such a BP model transformation. The approach is validated against an obfuscation metric introduced in the article. The obtained results show that the authors' algorithm generates BP fragment with a high obfuscation level, contributing to protect BP know-how when deployed in a multi-cloud context.

Date: 2018
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJWSR.2018100104 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jwsr00:v:15:y:2018:i:4:p:61-81

Access Statistics for this article

International Journal of Web Services Research (IJWSR) is currently edited by Liang-Jie Zhang

More articles in International Journal of Web Services Research (IJWSR) from IGI Global
Bibliographic data for series maintained by Journal Editor ().