Computer Engineering and Applications ›› 2020, Vol. 56 ›› Issue (9): 106-110.DOI: 10.3778/j.issn.1002-8331.1901-0130

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Personal Trajectory Information Protection Based on Differential Privacy Mechanism

HOU Yao, TAO Yang, YANG Li, XIONG Lian   

  1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
  • Online:2020-05-01 Published:2020-04-29



  1. 重庆邮电大学 通信与信息工程学院,重庆 400065


With the development of smartphones, location-based services are becoming more and more popular, and such services are causing serious privacy problems because many users are reluctant to see their location information leaked to service providers. In recent years, researchers have introduced the concept of differential privacy in a broad sense into location information protection, providing a private privacy protection framework with strict mathematical proof. Intuitively speaking, differential privacy means that by perturbation, the probability of generating any two possible release locations within a given distance is similar, so the attacker cannot understand the true location of the user. However, under the premise of ensuring privacy, users always want the quality loss of the accessed service to be minimal. A post mapping method is implemented to solve the above problem. The post-mapping mechanism can improve the average quality of service while satisfying the same privacy level, and combines the real data to simulate the mechanism. The result shows that the service quality loss of the mechanism is lower than the plane Laplacian mechanism.

Key words: differential privacy, location privacy, trajectory privacy, location-based services



关键词: 差分隐私, 位置隐私, 轨迹隐私, 位置服务