Privacy Protection for Location Sharing Services in Social Networks

Hui Wang; Juan Chen; Xianzhi Wang; Xin Liu; Zhenyu Na

Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part I

Research Article

Privacy Protection for Location Sharing Services in Social Networks

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@INPROCEEDINGS{10.1007/978-3-319-73564-1_10,
    author={Hui Wang and Juan Chen and Xianzhi Wang and Xin Liu and Zhenyu Na},
    title={Privacy Protection for Location Sharing Services in Social Networks},
    proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part I},
    proceedings_a={MLICOM},
    year={2018},
    month={2},
    keywords={Privacy protection protocol Location sharing Wireless social network},
    doi={10.1007/978-3-319-73564-1_10}
}

Hui Wang
Juan Chen
Xianzhi Wang
Xin Liu
Zhenyu Na
Year: 2018
Privacy Protection for Location Sharing Services in Social Networks
MLICOM
Springer
DOI: 10.1007/978-3-319-73564-1_10

Hui Wang¹^,*, Juan Chen²^,*, Xianzhi Wang³, Xin Liu⁴, Zhenyu Na²

1: National Computer Network Emergency Response Technical Team/Coordination Center of China
2: Dalian Maritime University
3: University of New South Wales
4: Dalian University of Technology

*Contact email: wh@cert.org.cn, juanchencs@gmail.com

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.

Keywords: Privacy protection protocol Location sharing Wireless social network

Published: 2018-02-09
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-319-73564-1_10