Adaptive Share Sheet Architecture with Multi-Layer Privacy Orchestration

Abstract:-Modern computing platforms increasingly support seamless cross-application content sharing, yet rising privacy concerns necessitate stronger control mechanisms. This work proposes an Adaptive Share Sheet Architecture that integrates a multi-layer privacy orchestration model combining user consent management, probabilistic trust assessment, and dynamic access control. Designed as a cross-platform, web-based solution, the architecture evaluates each sharing request through several privacy layers to ensure that data is only released under appropriate conditions. A formal mathematical model is introduced to describe the orchestration process, including trust scoring for receiving applications, privacy-risk quantification, and adaptive consent dynamics. Multi-layer access control policies are defined to enforce constraints from user-level preferences to system-level rules. The architecture is evaluated through MATLAB-based simulations comparing single-layer and multi-layer privacy strategies under varying user involvement. Results show that the proposed multilayer design significantly enhances privacy enforcement—achieving over 90% compliance, compared to ~70% in single-layer baselines—while maintaining acceptable response latency and strong usability. Graphs illustrate improvements in privacy protection, reduction of unauthorized sharing attempts, and minimal impact on system responsiveness. Overall, findings demonstrate that an adaptive, privacy-aware share sheet is both feasible and effective. Future work will focus on real-world deployment and integrating machine learning to further optimize the privacy–usability balance

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