Welcome to the InfoSci Platform
Reference Hub6
An Exact and Efficient Privacy-Preserving Spatiotemporal Matching in Mobile Social Networks

An Exact and Efficient Privacy-Preserving Spatiotemporal Matching in Mobile Social Networks

Xiuguang Li, Yuanyuan He, Ben Niu, Kai Yang, Hui Li
Copyright: © 2016 |Volume: 12 |Issue: 2 |Pages: 12
ISSN: 1548-3908|EISSN: 1548-3916|EISBN13: 9781466689213|DOI: 10.4018/IJTHI.2016040103
Cite Article Cite Article

MLA

Li, Xiuguang, et al. "An Exact and Efficient Privacy-Preserving Spatiotemporal Matching in Mobile Social Networks." IJTHI vol.12, no.2 2016: pp.36-47. http://doi.org/10.4018/IJTHI.2016040103

APA

Li, X., He, Y., Niu, B., Yang, K., & Li, H. (2016). An Exact and Efficient Privacy-Preserving Spatiotemporal Matching in Mobile Social Networks. International Journal of Technology and Human Interaction (IJTHI), 12(2), 36-47. http://doi.org/10.4018/IJTHI.2016040103

Chicago

Li, Xiuguang, et al. "An Exact and Efficient Privacy-Preserving Spatiotemporal Matching in Mobile Social Networks," International Journal of Technology and Human Interaction (IJTHI) 12, no.2: 36-47. http://doi.org/10.4018/IJTHI.2016040103

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

With the rapid development of mobile smartphone and its built-in location-aware devices, people are possible to establish trust relationships and further interaction with each other based their matched interests, hobbies, experiences, or spatiotemporal profiles. However, the possibility of sensitive information leakage and heavy computation overhead constrain the widespread use of the matching schemes in mobile social networks. Many privacy-preserving matching schemes were proposed recently years, but how to achieve privacy-preserving spatiotemporal matching exactly and efficiently remains an open question. In this paper, the authors propose a novel spatiotemporal matching scheme. The overlapping grid system is introduced into the scheme to improve the accuracy of spatiotemporal matching, and many repetitive records in a user's spatiotemporal profile are counted as one item so as to cut down the computation overhead. Their scheme decreases the spatiotemporal matching error, and promotes the efficiency of private matchmaking simultaneously. Thorough security analysis and evaluation results indicate that our scheme is effective and efficient.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.