Self-Adaptive Privacy in Cloud Computing: An overview under an interdisciplinary spectrum

Kitsiou, Angeliki; Pantelelis, Michail; Mavroeidi, Aikaterini-Georgia; Sideri, Maria; Simou, Stavros; Vgena, Katerina; Tzortzaki, Eleni; Kalloniatis, Christos

doi:10.1145/3575879.3575968

Cited by 2 publications

(2 citation statements)

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“…In the context of self-adaptive privacy, these systems need to adhere to various laws and regulations to ensure that users' personal data and information are handled appropriately. The emphasis on compliance mechanisms provided by cloud providers suggests an approach to meeting regulatory requirements [5]. The system should be designed in a flexible form to adapt to changes in privacy laws and regulations.…”

Section: Tr-1 Compliance Managementmentioning

confidence: 99%

“…In particular, self-adaptive privacy mechanisms empower users to exert granular control over their personal data by allowing them to dynamically adjust privacy settings based on changing preferences, contexts, and risk levels. This level of control is essential in cloud environments where data may be shared across multiple applications and services, each of which has its own privacy requirements [5]. What is more, self-adaptive privacy solutions leverage contextual information such as user location, device type, and network conditions to dynamically adapt privacy protections in real time.…”

Section: Introductionmentioning

confidence: 99%

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Specification of Self-Adaptive Privacy-Related Requirements within Cloud Computing Environments (CCE)

Kitsiou,

Sideri,

Pantelelis

et al. 2024

Sensors

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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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Section: Tr-1 Compliance Managementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%