Privacy Protection Method for Vehicle Trajectory Based on VLPR Data

المؤلفون المشاركون

Chen, Hua
Xiong, Chen
Xie, Jia-meng
Cai, Ming

المصدر

Journal of Advanced Transportation

العدد

المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-16، 16ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2020-06-23

دولة النشر

مصر

عدد الصفحات

16

التخصصات الرئيسية

هندسة مدنية

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1175828