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Research on the Association of Mobile Social Network Users Privacy Information Based on Big Data Analysis

Pingshui Wang1,*, Zecheng Wang1, Qinjuan Ma1
School of Management Science and Engineering, Anhui University of Finance & Economics, Bengbu, 233030, China.
School of Business Administration, Anhui University of Finance & Economics, Bengbu , 233030, China.
*Corresponding Author: Pingshui Wang. Email: .

Journal of Information Hiding and Privacy Protection 2019, 1(1), 35-42. https://doi.org/10.32604/jihpp.2019.05942

Abstract

The issue of privacy protection for mobile social networks is a frontier topic in the field of social network applications. The existing researches on user privacy protection in mobile social network mainly focus on privacy preserving data publishing and access control. There is little research on the association of user privacy information, so it is not easy to design personalized privacy protection strategy, but also increase the complexity of user privacy settings. Therefore, this paper concentrates on the association of user privacy information taking big data analysis tools, so as to provide data support for personalized privacy protection strategy design.

Keywords

Big data analysis, mobile social network, privacy protection, association.

Cite This Article

P. Wang, Z. Wang and Q. Ma, "Research on the association of mobile social network users privacy information based on big data analysis," Journal of Information Hiding and Privacy Protection, vol. 1, no.1, pp. 35–42, 2019.



This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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