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Specification of Self-Adaptive Privacy-Related Requirements within Cloud Computing Environments (CCE)
Angeliki Kitsiou1, Maria Sideri1, Michail Pantelelis1
1PRIVASI Lab, Department of Cultural Technology & Communication, University of the Aegean, 81100 Mytilene, Greece.
Abstract:
This paper presents a novel approach to address the challenges of self-adaptive privacy in cloud computing environments (CCE). Under the Cloud-InSPiRe project, the aim is to provide an interdisciplinary framework and a beta-version tool for self-adaptive privacy design, effectively focusing on the integration of technical measures with social needs. To address that, a pilot taxonomy that aligns technical, infrastructural, and social requirements is proposed after two supplementary surveys that have been conducted, focusing on users' privacy needs and developers' perspectives on self-adaptive privacy. Through the integration of users' social identity-based practices and developers' insights, the taxonomy aims to provide clear guidance for developers, ensuring compliance with regulatory standards and fostering a user-centric approach to self-adaptive privacy design tailored to diverse user groups, ultimately enhancing satisfaction and confidence in cloud services.
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