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Assuring consistency in mixed models

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dc.contributor.author Haraty, Ramzi A.
dc.contributor.author Naous, Mirna F.
dc.contributor.author Mourad, Azzam
dc.date.accessioned 2015-11-24T12:25:10Z
dc.date.available 2015-11-24T12:25:10Z
dc.date.copyright 2014
dc.date.issued 2015-11-24
dc.identifier.issn 1877-7503 en_US
dc.identifier.uri http://hdl.handle.net/10725/2674
dc.description.abstract Information systems security defines three properties of information: confidentiality, integrity, and availability. These characteristics remain major concerns throughout the commercial and military industry. Ordinary users have taken these features as basis for their businesses. Furthermore, users may find it necessary to combine policies in order to protect their information in a suitable way. However, inconsistencies may arise as a result of implementing multiple secrecy and privacy models; and therefore, render these services unsecure. In this paper, we propose an approach to detect and report inconsistencies when choosing mixed models for integrity and security. It is based on specifying the policies in first order logic and applying formal analysis. We demonstrate the feasibility of our proposition by applying it to the Clark Wilson and role based access control models. We use the Alloy language and analyzer to formalize the mixed model and check for any inconsistencies. en_US
dc.language.iso en en_US
dc.title Assuring consistency in mixed models en_US
dc.type Article en_US
dc.description.version Published en_US
dc.author.school SAS en_US
dc.author.idnumber 199729410 en_US
dc.author.idnumber 200904853 en_US
dc.author.woa N/A en_US
dc.author.department Computer Science and Mathematics en_US
dc.description.embargo N/A en_US
dc.relation.journal Journal of Computational Science en_US
dc.journal.volume 5 en_US
dc.journal.issue 4 en_US
dc.article.pages 653-663 en_US
dc.keywords Role based access control en_US
dc.keywords Clark Wilson en_US
dc.keywords Consistency en_US
dc.keywords Alloy en_US
dc.identifier.doi http://dx.doi.org/10.1016/j.jocs.2014.02.009 en_US
dc.identifier.ctation Haraty, R. A., Naous, M. F., & Mourad, A. (2014). Assuring consistency in mixed models. Journal of Computational Science, 5(4), 653-663. en_US
dc.author.email rharaty@lau.edu.lb
dc.author.email azzam.mourad@lau.edu.lb
dc.identifier.url http://www.sciencedirect.com/science/article/pii/S1877750314000325
dc.orcid.id https://orcid.org/0000-0002-6978-3627
dc.orcid.id https://orcid.org/0000-0001-9434-5322


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