3LP: Three Layers of Protection for Individual Privacy in Facebook
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Islam, Md Zahidul
Estivill-Castro, Vladimir
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DiVimercati, SD
Martinelli, F
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Abstract
The possibility that an unauthorised agent is able to infer a user’s hidden information (an attribute’s value) is known as attribute inference risk. It is one of the privacy issues for Facebook users in recent times. An existing technique [1] provides privacy by suppressing users’ attribute values from their profiles. However, suppression of an attribute value sometimes is not enough to secure a user’s confidential information. In this paper, we experimentally demonstrate that (after taking necessary steps on attribute values) a user’s sensitive information can still be inferred through his/her friendship information. We evaluated our approach experimentally on two datasets. We propose 3LP, a new three layers protection technique, to provide privacy protection to users of on-line social networks.
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IFIP Advances in Information and Communication Technology
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502
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Copyright IFIP, 2017. This is the author's version of the work. It is posted here by permission of IFIP for your personal use. Not for redistribution. The definitive version was published in IFIP Advances in Information and Communication Technology, 502, 2017(Boston: Springer), 108-123.
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Pattern recognition
Data mining and knowledge discovery