A Semi-Automatic Approach for Eliciting Cloud Security and Privacy Requirements

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Argyropoulos, Nikolaos, Shei, Shaun, Kalloniatis, Christos, Mouratidis, Haralambos, Delaney, Aidan, Fish, Andrew and Gritzalis, Stefanos (2017) A Semi-Automatic Approach for Eliciting Cloud Security and Privacy Requirements In: 50th Hawaii International Conference on System Sciences (HICSS), Hawaii, USA, January 2017.

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Abstract

Cloud computing provides a wide range of services to organisations in a flexible and cost efficient manner. Nevertheless, inherent cloud security issues make organisations hesitant towards the migration of their services to cloud. In parallel, the cloud service-oriented nature requires a specific and more demanding description of the business functional requirements intended for migration. Organisations need to transform their functional requirements based on a specific language, taking into account the respective non-functional requirements of the migrating services. Thus, the need for an approach that will holistically capture organisations' security and privacy requirements and transform them to cloud service requirements is immense. To this end, this paper presents an approach that takes as input abstract security and privacy requirements and produces through a semi-automatic process various alternative implementation options for cloud services. To achieve that a series of model transformations are utilised in order to create a mapping between the organisational and the operational level of the system's analysis.

Item Type: Contribution to conference proceedings in the public domain ( Full Paper)
Additional Information: Attribution-NonCommercial-NoDerivatives 4.0 International
Subjects: G000 Computing and Mathematical Sciences > G500 Information Systems
G000 Computing and Mathematical Sciences > G600 Software Engineering > G610 Software Design
G000 Computing and Mathematical Sciences > G600 Software Engineering
Depositing User: Converis
Date Deposited: 09 Feb 2017 03:01
Last Modified: 09 Feb 2017 09:13
URI: http://eprints.brighton.ac.uk/id/eprint/16478

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