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Facebook Account Misuse Detection -- A Statistical Approach

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Date
2013-06-30
Author
Chai, CP
Editor
Lei, CL
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Abstract
Privacy of personal information on social networking websites has become an important issue, because when a social networking website account is used by a person other than the owner, all personal data stored on the website can be retrieved, no matter how the owner sets the privacy options. Therefore, this paper proposes a statistical approach with the use of Support Vector Machine (SVM) to detect whether the Facebook account user is the actual owner. By analyzing online browsing behavior features, it is found that the normal user tends to be more active and that the stealthy user prefers to read personal messages.
Type
Other article
Subject
Facebook
account misuse
statistical approach
Support Vector Machine (SVM)
classification
cross validation
Permalink
https://hdl.handle.net/10161/14285
Citation
Chai, CP (2013). Facebook Account Misuse Detection -- A Statistical Approach. Retrieved from https://hdl.handle.net/10161/14285.
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Scholars@Duke

Chai

Christine Chai

Associate In Research

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