Research Article
Are You Really My Friend? Exactly Spatiotemporal Matching Scheme in Privacy-Aware Mobile Social Networks
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@INPROCEEDINGS{10.1007/978-3-319-23802-9_5, author={Ben Niu and Xiuguang Li and Xiaoyan Zhu and Xiaoqing Li and Hui Li}, title={Are You Really My Friend? Exactly Spatiotemporal Matching Scheme in Privacy-Aware Mobile Social Networks}, proceedings={International Conference on Security and Privacy in Communication Networks. 10th International ICST Conference, SecureComm 2014, Beijing, China, September 24-26, 2014, Revised Selected Papers, Part II}, proceedings_a={SECURECOMM}, year={2015}, month={12}, keywords={Mobile social networks Private matching Spatiotemporal}, doi={10.1007/978-3-319-23802-9_5} }- Ben Niu
Xiuguang Li
Xiaoyan Zhu
Xiaoqing Li
Hui Li
Year: 2015
Are You Really My Friend? Exactly Spatiotemporal Matching Scheme in Privacy-Aware Mobile Social Networks
SECURECOMM
Springer
DOI: 10.1007/978-3-319-23802-9_5
Abstract
We propose an exactly spatiotemporal matching scheme for privacy-aware users in MSNs. Based on the carefully designed spatiotemporal profile, our scheme employs a weight-aware pre-matching module to filter out the users with less similarity and some potential adversaries, thus guarantees that no useful information is revealed before determining the best matches. Further, we propose a privacy-preserving exchanging module against Honest-But-Curious users. Finally, the similarity computing module computes the exact matching result to each candidate to determine the best match. Thorough security analysis and evaluation results indicate the effectiveness and efficiency.
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