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.
Sabrina De Capitani di Vimercati; Fabio Martinelli. 32th IFIP International Conference on ICT Systems Security and Privacy Protection (SEC), May 2017, Rome, Italy. Springer International Publishing, IFIP Advances in Information and Communication Technology, AICT-502, pp.108-123, 2017, ICT Systems Security and Privacy Protection. 〈10.1007/978-3-319-58469-0_8〉
https://hal.inria.fr/hal-01649014
Contributeur : Hal Ifip
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Soumis le : lundi 27 novembre 2017 - 10:32:10
Dernière modification le : lundi 27 novembre 2017 - 10:34:02
Khondker Reza, Md Islam, Vladimir Estivill-Castro. 3LP: Three Layers of Protection for Individual Privacy in Facebook. Sabrina De Capitani di Vimercati; Fabio Martinelli. 32th IFIP International Conference on ICT Systems Security and Privacy Protection (SEC), May 2017, Rome, Italy. Springer International Publishing, IFIP Advances in Information and Communication Technology, AICT-502, pp.108-123, 2017, ICT Systems Security and Privacy Protection. 〈10.1007/978-3-319-58469-0_8〉. 〈hal-01649014〉
