Trajectory Privacy Protection Based on Sensitive Stay Area Replacement in Publishing

Author:

Yali Ji12ORCID,Xiaolin Gui12ORCID,Huijun Dai12ORCID,Jian An12,Hongyi Zhu12,Zhenlong Peng12,Xinyang Lin12

Affiliation:

1. School of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, China

2. Key Laboratory of Computer Network of Shaanxi Province, Xi’an, China

Abstract

In data opening and sharing, a trajectory privacy protection based on sensitive stay area replacement (SSAR) is proposed in order to improve the availability of protected trajectory while maintaining the same security. Firstly, the stay areas are extracted by analyzing the movement characteristics. Secondly, the sensitive stay areas are obtained according to the user-defined sensitive semantic positions. Then, the sensitive areas are constructed according to the user's privacy requirement needs to randomly select the substitution. Finally, part of the sampling positions in the sensitive area are reset. The parameter selection experiment and the comparison experiment with other schemes show that the trajectory similarity is improved by more than 35% in SSAR. That is to say, SSAR can greatly improve the availability of protected trajectory on the basis of ensuring the safety degree.

Funder

National Basic Research Program of China

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Reference16 articles.

1. Personalized extended(α,k)-anonymity model for privacy ‐ preserving data publishing;X. Liu;Concurrency and Computation: Practice and Experience,2017

2. Trajectory Data Privacy Protection based on Differential Privacy Mechanism

3. Dummy-Based Trajectory Privacy Protection Against Exposure Location Attacks;L. Xiangyu

4. An efficient method for privacy-preserving trajectory data publishing based on data partitioning

5. A Clustering-Anonymity Approach for Trajectory Data Publishing Considering both Distance and Direction

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