Privacy Protection in Online Social Network in the Context of Big Data

DOI

10.2991/icemaess-15.2016.103How to use a DOI?

Keywords

privacy protection; online social network; big data

Abstract

With the rapid development of Web 2.0 technology, online social network data has shown the classical big data characteristics. The analysis of social network big data is getting deeper and deeper. At the same time, the risk of privacy disclosure in social network is also very obvious. A series of privacy preserving models and algorithms for social network data are proposed. In this paper, we summarized the privacy leakage type of social network, deeply analyzed the existing privacy preserving technology, pointed out its advantages and disadvantages, and prospected the future research directions.

Copyright

© 2016, 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  - PingShui Wang
AU  - ZeCheng Wang
AU  - Tao Chen
PY  - 2015/12
DA  - 2015/12
TI  - Privacy Protection in Online Social Network in the Context of Big Data
BT  - Proceedings of the 2015 3rd International Conference on Education, Management, Arts, Economics and Social Science
PB  - Atlantis Press
SP  - 461
EP  - 465
SN  - 2352-5398
UR  - https://doi.org/10.2991/icemaess-15.2016.103
DO  - 10.2991/icemaess-15.2016.103
ID  - Wang2015/12
ER  -