A Privacy-Preserving Trajectory Publication Method Based on Secure Start-Points and End-Points
Joint Authors
Zhao, Yannian
Yu, Qingying
Hu, Zhaoyan
Luo, Yonglong
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-04-21
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Telecommunications Engineering
Abstract EN
By judging whether the start-point and end-point of a trajectory conform to the user’s behavioral habits, an attacker who possesses background knowledge can breach the anonymous trajectory.
Traditional trajectory privacy preservation schemes often generate an anonymous set of trajectories without considering the security of the trajectory start- and end-points.
To address this problem, this paper proposes a privacy-preserving trajectory publication method based on generating secure start- and end-points.
First, a candidate set containing a secure start-point and end-point is generated according to the user’s habits.
Second, k−1 anonymous trajectories are generated bidirectionally according to that secure candidate set.
Finally, accessibility corrections are made for each anonymous trajectory.
This method integrates features such as local geographic reachability and trajectory similarity when generating an anonymized set of trajectories.
This provides users with privacy preservation at the k-anonymity level, without relying on the trusted third parties and with low algorithm complexity.
Compared with existing methods such as trajectory rotation and unidirectional generation, theoretical analysis and experimental results on the datasets of real trajectories show that the anonymous trajectories generated by the proposed method can ensure the security of trajectory privacy while maintaining a higher trajectory similarity.
American Psychological Association (APA)
Zhao, Yannian& Luo, Yonglong& Yu, Qingying& Hu, Zhaoyan. 2020. A Privacy-Preserving Trajectory Publication Method Based on Secure Start-Points and End-Points. Mobile Information Systems،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1192356
Modern Language Association (MLA)
Zhao, Yannian…[et al.]. A Privacy-Preserving Trajectory Publication Method Based on Secure Start-Points and End-Points. Mobile Information Systems No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1192356
American Medical Association (AMA)
Zhao, Yannian& Luo, Yonglong& Yu, Qingying& Hu, Zhaoyan. A Privacy-Preserving Trajectory Publication Method Based on Secure Start-Points and End-Points. Mobile Information Systems. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1192356
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1192356