Research on the Personalized Trajectory Privacy Protection Scheme for Mobile Social Network Based on Sensitivity Degree

DOI

10.2991/macmc-17.2018.126How to use a DOI?

Keywords

Sensitivity degree, mobile social network, trajectory privacy protection

Abstract

In order to deal with the problem of trajectory privacy disclosure in mobile social network, this paper proposes a personalized mobile social network trajectory privacy protection scheme based on sensitivity degree. First of all, according to the various types users of different privacy needs, the appropriate protection principles are selected, so as to make up for the traditional privacy protection in the existence of excessive protection or low trajectory defects. Then, the sensitive trajectory anonymous and other related concepts are defined. This scheme was based on some technologies on Tire tree, including construction, pruning and reconstruction. Finally, it evaluated this scheme on real-world data set, the experiment results show that our scheme is better in trajectory location loss ratio and more efficient than state-of-the-art for privacy-preserving.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Chun-yuan Li
PY  - 2018/01
DA  - 2018/01
TI  - Research on the Personalized Trajectory Privacy Protection Scheme for Mobile Social Network Based on Sensitivity Degree
BT  - Proceedings of the 2017 4th International Conference on Machinery, Materials and Computer (MACMC 2017)
PB  - Atlantis Press
SP  - 671
EP  - 676
SN  - 2352-5401
UR  - https://doi.org/10.2991/macmc-17.2018.126
DO  - 10.2991/macmc-17.2018.126
ID  - Li2018/01
ER  -