TY - JOUR A2 - Liu, Ximeng AU - Wang, Jie AU - Wang, Feng AU - Li, Hongtao PY - 2021 DA - 2021/04/12 TI - Differential Privacy Location Protection Scheme Based on Hilbert Curve SP - 5574415 VL - 2021 AB - Location-based services (LBS) applications provide convenience for people’s life and work, but the collection of location information may expose users’ privacy. Since these collected data contain much private information about users, a privacy protection scheme for location information is an impending need. In this paper, a protection scheme DPL-Hc is proposed. Firstly, the users’ location on the map is mapped into one-dimensional space by using Hilbert curve mapping technology. Then, the Laplace noise is added to the location information of one-dimensional space for perturbation, which considers more than 70% of the nonlocation information of users; meanwhile, the disturbance effect is achieved by adding noise. Finally, the disturbed location is submitted to the service provider as the users’ real location to protect the users’ location privacy. Theoretical analysis and simulation results show that the proposed scheme can protect the users’ location privacy without the trusted third party effectively. It has advantages in data availability, the degree of privacy protection, and the generation time of anonymous data sets, basically achieving the balance between privacy protection and service quality. SN - 1939-0114 UR - https://doi.org/10.1155/2021/5574415 DO - 10.1155/2021/5574415 JF - Security and Communication Networks PB - Hindawi KW - ER -