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Managing a User's Vulnerability on a Social Networking Site

Abstract Users often join an online social networking (OSN) site, like Facebook, to remain social, by either staying connected with friends or expanding social networks. On an OSN site, users generally share variety of personal information which is often expected to be visible to their friends, but sometimes vulnerable to unwarranted access from others. The recent study suggests that many personal attributes, including religious and political affiliations, sexual orientation, relationship status, age, and gender, are predictable using users' personal data from an OSN site. The majority of users want to remain socially active, and protect their personal data at the same time. This tension leads to a user's vulnerability, allowing privacy att... (more)
Created Date 2015
Contributor Gundecha, Pritam Sureshlal (Author) / Liu, Huan (Advisor) / Ahn, Gail-Joon (Committee member) / Ye, Jieping (Committee member) / Barbier, Geoffrey (Committee member) / Arizona State University (Publisher)
Subject Computer science / Computer engineering / Social research / Data Mining / Machine Learning / Online Social Network / Security / User Privacy / User Vulnerability
Type Doctoral Dissertation
Extent 98 pages
Language English
Reuse Permissions All Rights Reserved
Note Doctoral Dissertation Computer Science 2015
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis