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A Certification Technique for Cloud Security Adaptation

Ardagna, Claudio Agostino, Asal, Rasool, Damiani, Ernesto, El Ioini, Nabil, Pahl, Claus, Dimitrakos, Theo (2016) A Certification Technique for Cloud Security Adaptation. In: Services Computing (SCC), 2016 IEEE International Conference on. 2016 IEEE International Conference on Services Computing. . pp. 324-331. IEEE, San Francisco, USA ISBN 978-1-5090-2629-6. E-ISBN 978-1-5090-2628-9. (doi:10.1109/SCC.2016.49) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided)

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Abstract

Unpredictability of cloud computing due to segregation of visibility and control between applications, data owners, and cloud providers increases tenants’ uncertainty when using cloud services. Adaptation techniques become fundamental to provide a reliable cloud-based infrastructure with definite behavior, which preserves a stable quality of service for tenants. Existing adaptation techniques mostly focus on performance properties and are based on unverifiable evidence, which is collected in an untrusted way. In this paper, we propose a security-oriented adaptation technique for the cloud, based on evidence collected by means of a reliable certification process. Our approach adapts the cloud to maintain stable security properties over time, by continuously verifying certificate validity. It uses the output of verification activities to index a feature model, where equivalent configurations are used as the basis for adaptation. We also provide an analysis of the approach on British Telecommunications (BT) premises.

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1109/SCC.2016.49
Uncontrolled keywords: Adaptive cloud, Certification, Feature models
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Sciences > School of Computing > Security Group
Depositing User: Theo Dimitrakos
Date Deposited: 08 Nov 2016 12:05 UTC
Last Modified: 29 May 2019 18:06 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/58307 (The current URI for this page, for reference purposes)
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