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Sensors 2017, 17(3), 500; doi:10.3390/s17030500

PAVS: A New Privacy-Preserving Data Aggregation Scheme for Vehicle Sensing Systems

1
School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China
2
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore
3
Faculty of Computer Science, University of New Brunswick, Fredericton, NB E3B 5A3, Canada
4
Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada
*
Author to whom correspondence should be addressed.
Academic Editor: Paolo Bellavista
Received: 30 December 2016 / Revised: 20 February 2017 / Accepted: 27 February 2017 / Published: 3 March 2017
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Abstract

Air pollution has become one of the most pressing environmental issues in recent years. According to a World Health Organization (WHO) report, air pollution has led to the deaths of millions of people worldwide. Accordingly, expensive and complex air-monitoring instruments have been exploited to measure air pollution. Comparatively, a vehicle sensing system (VSS), as it can be effectively used for many purposes and can bring huge financial benefits in reducing high maintenance and repair costs, has received considerable attention. However, the privacy issues of VSS including vehicles’ location privacy have not been well addressed. Therefore, in this paper, we propose a new privacy-preserving data aggregation scheme, called PAVS, for VSS. Specifically, PAVS combines privacy-preserving classification and privacy-preserving statistics on both the mean E(·) and variance Var(·), which makes VSS more promising, as, with minimal privacy leakage, more vehicles are willing to participate in sensing. Detailed analysis shows that the proposed PAVS can achieve the properties of privacy preservation, data accuracy and scalability. In addition, the performance evaluations via extensive simulations also demonstrate its efficiency. View Full-Text
Keywords: vehicle sensing; data aggregation; privacy-preserving aggregation; privacy-preserving data statistics vehicle sensing; data aggregation; privacy-preserving aggregation; privacy-preserving data statistics
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Xu, C.; Lu, R.; Wang, H.; Zhu, L.; Huang, C. PAVS: A New Privacy-Preserving Data Aggregation Scheme for Vehicle Sensing Systems. Sensors 2017, 17, 500.

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