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Authors: Khondker Jahid Reza 1 ; Md Zahidul Islam 1 and Vladimir Estivill-Castro 2

Affiliations: 1 School of Computing and Mathematics, Charles Sturt University, Panorama Avenue, Bathurst 2795, NSW and Australia ; 2 Departament de Tecnologies de la Informació i les Comunicacions, Universitat Pompeu Fabra, Roc Boronat, 138, 08018 Barcelona and Spain

Keyword(s): Attribute Inference, Data Mining, Privacy Protection Technique.

Abstract: Online social networks (OSNs) are currently a popular platform for social interactions among people. Usually, OSN users upload various contents including personal information on their profiles. The ability to infer users’ hidden information or information that has not been even uploaded (i.e. private/sensitive information) by an unauthorised agent is commonly known as attribute inference problem. In this paper, we propose 3LP+, a privacy-preserving technique, to protect users’ sensitive information leakage. We apply 3LP+ on a synthetically generated OSN data set and demonstrate the superiority of 3LP+ over an existing privacy-preserving technique.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Reza, K.; Islam, M. and Estivill-Castro, V. (2019). Privacy Preservation of Social Network Users Against Attribute Inference Attacks via Malicious Data Mining. In Proceedings of the 5th International Conference on Information Systems Security and Privacy - ICISSP; ISBN 978-989-758-359-9; ISSN 2184-4356, SciTePress, pages 412-420. DOI: 10.5220/0007390404120420

@conference{icissp19,
author={Khondker Jahid Reza. and Md Zahidul Islam. and Vladimir Estivill{-}Castro.},
title={Privacy Preservation of Social Network Users Against Attribute Inference Attacks via Malicious Data Mining},
booktitle={Proceedings of the 5th International Conference on Information Systems Security and Privacy - ICISSP},
year={2019},
pages={412-420},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007390404120420},
isbn={978-989-758-359-9},
issn={2184-4356},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Information Systems Security and Privacy - ICISSP
TI - Privacy Preservation of Social Network Users Against Attribute Inference Attacks via Malicious Data Mining
SN - 978-989-758-359-9
IS - 2184-4356
AU - Reza, K.
AU - Islam, M.
AU - Estivill-Castro, V.
PY - 2019
SP - 412
EP - 420
DO - 10.5220/0007390404120420
PB - SciTePress

- Science and Technology Publications, Lda.
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