A New Trajectory Privacy Protection Scheme for Resisting Similarity Attack
Junjie Jia, He Huang · Journal of Physics Conference Series · 2018
Aiming at trajectory privacy disclosure caused by high slope similarity in trajectory anonymous set, trajectory (k, e) - anonymity model is proposed to resist the trajectory similarity attack. The algorithm uses the trajectory slope as sensitive value to select at least different k trajectories into an equivalence class and requires that the slope of different trajectories is at least e. The experimental results show that the proposed algorithm can effectively prevent the trajectory similarity attack caused by the high similarity of the trajectory in the anonymity set and more effective trajectory privacy protection has been realized.