E2E-PP: End-to-End Privacy Protection via compressive sensing and personalized differential privacy for mobile crowdsensing

This research paper proposes E2E-PP, a system that protects privacy in mobile crowdsensing (collecting data from many mobile devices) by combining compressive sensing (a technique that reduces data size while preserving important information) with personalized differential privacy (a method that adds customized noise to data to prevent identifying individuals). The system aims to let mobile devices share sensor data for collective purposes while keeping personal information private.