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Privacy Protection for Location Sharing Services in Social Networks

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Machine Learning and Intelligent Communications (MLICOM 2017)

Abstract

Recently, there is an increase interest in location sharing services in social networks. Behind the convenience brought by location sharing, there comes an indispensable security risk of privacy. Though many efforts have been made to protect user’s privacy for location sharing, they are not suitable for social network. Most importantly, little research so far can support user relationship privacy and identity privacy. Thus, we propose a new privacy protection protocol for location sharing in social networks. Different from previous work, the proposed protocol can provide perfect privacy for location sharing services. Simulation results validate the feasibility and efficiency of the proposed protocol.

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Acknowledgement

This research is supported in part by the Natural Science Foundation of China under grants No. 61300188 and 61601221; by the Fundamental Research Funds for the Central Universities No. 3132016024; by Scientific Research Staring Foundation for the Ph.D in Liaoning Province No. 201601081; by Scientific Research Projects from Education Department in Liaoning Province No. L2015056.

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Correspondence to Juan Chen .

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Wang, H., Chen, J., Wang, X., Liu, X., Na, Z. (2018). Privacy Protection for Location Sharing Services in Social Networks. In: Gu, X., Liu, G., Li, B. (eds) Machine Learning and Intelligent Communications. MLICOM 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 226. Springer, Cham. https://doi.org/10.1007/978-3-319-73564-1_10

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  • DOI: https://doi.org/10.1007/978-3-319-73564-1_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73563-4

  • Online ISBN: 978-3-319-73564-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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