A Hybrid Approach for Enhanced User-Centric Privacy

Abstract

In the contemporary digital landscape, safeguarding user privacy remains a paramount concern. This paper introduces a novel hybrid mechanism that integrates Consent Management and Selective Data Sharing to elevate user-centric privacy. Recognizing the evolving nature of privacy challenges, our approach empowers users with unprecedented control over their personal information. The Consent Management component facilitates granular control, allowing users to specify the scope and duration of data processing consents. Concurrently, the Selective Data Sharing element enables users to share only essential information, preserving their privacy without compromising utility. The hybrid mechanism is designed to address the limitations of standalone solutions by synergistically combining the strengths of both consent management and selective data sharing. This approach not only enhances user autonomy but also establishes a more robust privacy framework adaptable to diverse user preferences. The architecture emphasizes transparency, ensuring users have access to comprehensive information about data practices. Furthermore, the mechanism incorporates user-friendly interfaces to facilitate intuitive interaction, contributing to a seamless and informed user experience. By fostering a balance between consent control and data minimization, the hybrid mechanism aligns with privacy by design principles. It not only responds to existing privacy challenges but also anticipates emerging threats, positioning itself as a forward-looking solution in the realm of user-centric privacy. The effectiveness of this hybrid approach is underscored through empirical evaluations, showcasing its ability to strengthen user privacy without compromising the functionality of digital services