Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

Journal of Beijing University of Posts and Telecommunications ›› 2022, Vol. 45 ›› Issue (1): 13-18.doi: 10.13190/j.jbupt.2021-076

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Differential Privacy Trajectory Data Protection Scheme

SONG Cheng, XU Biao, HE Junyi   

  1. School of Compute Science and Technology, Henan Polytechnic University, Jiaozuo 454000, China
  • Received:2021-04-28 Online:2022-02-28 Published:2021-12-16

Abstract: To solve the issue that the trajectory privacy information of current users is easy to be disclosed, a differential privacy trajectory data protection scheme is proposed. Based on the location-based service requesting user identity anonymization process, this scheme adopts differential privacy technology to add noise to the user's trajectory data set to generate the data set with trajectory noise. Then, the dummy user with noise-added trajectory is used to replace the real user to execute the location based service request, thereby realizing the privacy protection of the user's identity, trajectory and query information. Through security analysis, the scheme satisfies the security features of anonymity, unforgeability and anti-counterfeiting attack. The simulation results show that the scheme not only has better data availability, but also has certain advantages in efficiency.

Key words: location based services, differential privacy, trajectory privacy, elliptic curve cryptosystem

CLC Number: