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

Area of Science:

• Cloud Computing Security
• Privacy Engineering
• Human-Computer Interaction

Background:

• Cloud computing environments (CCE) face challenges in implementing effective self-adaptive privacy.
• Existing approaches often lack integration between technical privacy measures and user social needs.
• The Cloud-InSPiRe project aims to bridge this gap through an interdisciplinary framework.

Purpose of the Study:

• To present a novel approach for self-adaptive privacy design in CCE.
• To develop an interdisciplinary framework and a beta-version tool for privacy design.
• To integrate technical, infrastructural, and social requirements for user-centric privacy.

Main Methods:

• Conducted two supplementary surveys to gather user privacy needs and developer perspectives.
• Developed a pilot taxonomy aligning technical, infrastructural, and social requirements.
• Integrated users' social identity-based practices with developers' insights.

Main Results:

• A pilot taxonomy was created to guide self-adaptive privacy design.
• The taxonomy facilitates the integration of user needs and developer insights.
• The approach supports tailoring privacy designs to diverse user groups.

Conclusions:

• The proposed framework and taxonomy offer clear guidance for developers in CCE.
• This user-centric approach enhances compliance with regulatory standards.
• The integration fosters greater user satisfaction and confidence in cloud services.