DSG-BTra: Differentially Semantic-Generalized Behavioral Trajectory for Privacy-Preserving Mobile Internet Services

While facilitating user daily lives, the booming development of mobile Internet services raises their privacy concerns because of the need to share travel trajectories. Due to the differences in access patterns and sensitive location attributes, behavioral semantics of user travel suffer from different degrees of leakage risks and have personalized privacy requirements. Semantic mobility-aware personalized privacy protection is still an open research issue in mobile scenarios. To this end, we propose a differentially semantic-generalized behavioral trajectory (DSG-BTra) for achieving privacy-preserving mobile Internet services. Specifically, we first explore the underlying behavioral patterns by formalizing user social mobility. Then, we evaluate the differential privacy sensitivity of user behavior to indicate the risks it faces. Finally, we generalize the behavioral semantics with a sensitivity-quantified strength and generate a DSG-BTra for the user to participate in mobile services. Extensive experiments with real-world data sets demonstrate DSG-BTra achieves flexible balance between privacy protection and application QoS, e.g., reducing the inference probability to 0.18–0.26 with a semantic similarity of 0.3–0.5.