- 期刊
Personalized Trajectory Privacy Protection Method Based on Multiple Anonymizers Forwarding
摘要
In response to the limitation of a single anonymizer in the TTP structure and the problem of user personalization needs, this paper proposes a personalized trajectory privacy protection method based on multi-anonymizer forwarding. The method first allocates different privacy budgets according to the user's location sensitivity and uses differential privacy techniques to add Laplace noise, matching the privacy budget to sensitive locations. Then, multiple anonymizers are deployed between the user and the LBS server, and the noise-added trajectories are mapped to different anonymizers using a random mapping mechanism. Finally, the noisy trajectory data are forwarded to the LBS server anonymously for other users to inquire. The experimental results show that the scheme can protect users' privacy and meet personalized needs.