A Privacy-Protection Data Separation Approach for Fine-Grained Data Access Management
Mobile devices like smartphones and tablets hold private and critical data of users. Mobile apps often require access to data on mobile devices, thus data privacy becomes an issue. Most time, mobile systems grant apps with excessive permission to data such as images and location. It allows apps to collect data more than they need without notifying the user again. This study focuses on a new approach to provide fine-grained data access permission authorization for mobile systems. We study image and location, as two typical kinds of persistent and temporary data, to separating mobile data with different privacy level and applying a finer-grained data access management in local mobile system. We design benchmarks and implement several mobile apps based on our approach, and the evaluation shows the feasibility of our approach.