3LP: Three Layers of Protection for Individual Privacy in Facebook
Author(s)
Reza, Khondker Jahid
Islam, Md Zahidul
Estivill-Castro, Vladimir
Griffith University Author(s)
Year published
2017
Metadata
Show full item recordAbstract
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 ...
View more >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.
View less >
View more >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.
View less >
Journal Title
IFIP Advances in Information and Communication Technology
Volume
502
Copyright Statement
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.
Subject
Pattern recognition
Data mining and knowledge discovery