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Future Internet 2017, 9(4), 65; doi:10.3390/fi9040065

An Effective Grouping Method for Privacy-Preserving Bike Sharing Data Publishing

Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Beijing 100049, China
Author to whom correspondence should be addressed.
Academic Editor: Georgios Kambourakis
Received: 20 September 2017 / Revised: 15 October 2017 / Accepted: 16 October 2017 / Published: 18 October 2017
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Bike sharing programs are eco-friendly transportation systems that are widespread in smart city environments. In this paper, we study the problem of privacy-preserving bike sharing microdata publishing. Bike sharing systems collect visiting information along with user identity and make it public by removing the user identity. Even after excluding user identification, the published bike sharing dataset will not be protected against privacy disclosure risks. An adversary may arrange published datasets based on bike’s visiting information to breach a user’s privacy. In this paper, we propose a grouping based anonymization method to protect published bike sharing dataset from linking attacks. The proposed Grouping method ensures that the published bike sharing microdata will be protected from disclosure risks. Experimental results show that our approach can protect user privacy in the released datasets from disclosure risks and can keep more data utility compared with existing methods. View Full-Text
Keywords: bike sharing; identity disclosure; linking attacks; data publishing; privacy preservation bike sharing; identity disclosure; linking attacks; data publishing; privacy preservation

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Hasan, A.S.M.T.; Jiang, Q.; Li, C. An Effective Grouping Method for Privacy-Preserving Bike Sharing Data Publishing. Future Internet 2017, 9, 65.

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