Deciphering privacy leakage in microblogging social networks: a measurement study. Issue 17 (18th May 2015)

• Record Type: Journal Article
• Authors: Li, Gaoxiang; Wu, Di; Shen, Junfeng; Li, Tingting
• Is Part Of: Security and communication networks. Volume 8:Issue 17(2015)
• Page Start: 3191
• Page End: 3204
• Publication Date: 2015-05-18
• Subjects: Computer networks -- Security measures -- Periodicals; Computer security -- Periodicals; Cryptography -- Periodicals; 005.805
• DOI: 10.1002/sec.1244
• Languages: English
• ISSNs: 1939-0114

Abstract

<abstract abstract-type="main" id="sec1244-abs-0001"> <title>Abstract</title> <p id="sec1244-para-0001">Privacy leakage has become a growing concern for microblogging social networks. While the use of social networks facilitates information sharing and collaboration, many users are disclosing their sensitive information in the meanwhile. In this paper, we aim to better understand privacy leakage in the microblogging social networks. Towards this, we conducted a comprehensive measurement study to investigate the privacy problem in the largest microblogging social network in China from macroscopic, medium‐scopic, and microscopic perspectives. For the macroscopic analysis, we analyzed the profile pages of 1.57 million users and obtained a broad picture on the openness of users and the leakage of user‐sensitive information via their profile pages. We find that verified users prefer to disclose more information on their profile pages than unverified users, and the youth and singles normally have a higher open degree. For the medium‐scopic analysis, we investigated the social links among Weibo users and show the feasibility to identify the closest friends of a user. For the microscopic analysis, we explored in‐depth a small set of users by textual analysis and manual analysis. We observe that unverified users leak slightly more privacy than verified users, and males are only a bit more open than females. We can further identify the location, age, and daily activities of a user by manually analyzing their public information on the Weibo. In addition to providing insight into the severity of privacy leakage, we also discuss a few possible solutions to protect user privacy in the microblogging social networks. Copyright © 2015 John Wiley & Sons, Ltd.</p> </abstract>