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Privacy Protection Method for Vehicle Trajectory Based on VLPR Data
Joint Authors
Chen, Hua
Xiong, Chen
Xie, Jia-meng
Cai, Ming
Source
Journal of Advanced Transportation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-23
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
With the rapid development of data acquisition technology, data acquisition departments can collect increasingly more data.
Various data from government agencies are gradually becoming available to the public, including license plate recognition (VLPR) data.
As a result, privacy protection is becoming increasingly significant.
In this paper, an adversary model based on passing time, color, type, and brand of VLPR data is proposed.
Through experimental analysis, the tracking probability of a vehicle’s trajectory can be more than 94% if utilizing the original data.
To decrease the tracking probability, a novel approach called the (m, n)-bucket model based on time series is proposed since previous works, such as those using generalization and bucketization models, cannot deal with data with multiple sensitive attributes (SAs) or data with time correlations.
Meanwhile, a mathematical model is established to expound the privacy protection principle of the (m, n)-bucket model.
By comparing the average calculated linking probability of all individuals and the actual linking probability, it is shown that the mathematical model that is proposed can well expound the privacy protection principle of the (m, n)-bucket model.
Extensive experiments confirm that our technique can effectively prevent trajectory privacy disclosures.
American Psychological Association (APA)
Chen, Hua& Xiong, Chen& Xie, Jia-meng& Cai, Ming. 2020. Privacy Protection Method for Vehicle Trajectory Based on VLPR Data. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1175828
Modern Language Association (MLA)
Chen, Hua…[et al.]. Privacy Protection Method for Vehicle Trajectory Based on VLPR Data. Journal of Advanced Transportation No. 2020 (2020), pp.1-16.
https://search.emarefa.net/detail/BIM-1175828
American Medical Association (AMA)
Chen, Hua& Xiong, Chen& Xie, Jia-meng& Cai, Ming. Privacy Protection Method for Vehicle Trajectory Based on VLPR Data. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1175828
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175828