Privacy threat analysis of mobile social network data publishing

With mobile phones becoming integral part of modern life, the popularity of mobile social networking has tremendously increased over the past few years, bringing with it many benefits but also new trepidations. In particular, privacy issues in mobile social networking has recently become a significa...

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Main Authors: Abawajy, Jemal H., Ninggal, Mohd Izuan Hafez, Al Aghbari, Zaher, Darem, Abdul Basit, Alhashmi, Asma
Format: Article
Language:English
Published: Springer Verlag 2018
Online Access:http://psasir.upm.edu.my/id/eprint/73641/1/Privacy%20threat%20analysis%20of%20mobile%20social%20network%20data%20publishing.pdf
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author Abawajy, Jemal H.
Ninggal, Mohd Izuan Hafez
Al Aghbari, Zaher
Darem, Abdul Basit
Alhashmi, Asma
author_facet Abawajy, Jemal H.
Ninggal, Mohd Izuan Hafez
Al Aghbari, Zaher
Darem, Abdul Basit
Alhashmi, Asma
author_sort Abawajy, Jemal H.
collection UPM
description With mobile phones becoming integral part of modern life, the popularity of mobile social networking has tremendously increased over the past few years, bringing with it many benefits but also new trepidations. In particular, privacy issues in mobile social networking has recently become a significant concern. In this paper we present our study on the privacy vulnerability of the mobile social network data publication with emphases on a re-identification and disclosure attacks. We present a new technique for uniquely identifying a targeted individual in the anonymized social network graph and empirically demonstrate the capability of the proposed approach using a very large social network datasets. The results show that the proposed approach can uniquely re-identify a target on anonymized social network data with high success rate.
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spelling upm.eprints-736412020-05-10T15:26:54Z http://psasir.upm.edu.my/id/eprint/73641/ Privacy threat analysis of mobile social network data publishing Abawajy, Jemal H. Ninggal, Mohd Izuan Hafez Al Aghbari, Zaher Darem, Abdul Basit Alhashmi, Asma With mobile phones becoming integral part of modern life, the popularity of mobile social networking has tremendously increased over the past few years, bringing with it many benefits but also new trepidations. In particular, privacy issues in mobile social networking has recently become a significant concern. In this paper we present our study on the privacy vulnerability of the mobile social network data publication with emphases on a re-identification and disclosure attacks. We present a new technique for uniquely identifying a targeted individual in the anonymized social network graph and empirically demonstrate the capability of the proposed approach using a very large social network datasets. The results show that the proposed approach can uniquely re-identify a target on anonymized social network data with high success rate. Springer Verlag 2018 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/73641/1/Privacy%20threat%20analysis%20of%20mobile%20social%20network%20data%20publishing.pdf Abawajy, Jemal H. and Ninggal, Mohd Izuan Hafez and Al Aghbari, Zaher and Darem, Abdul Basit and Alhashmi, Asma (2018) Privacy threat analysis of mobile social network data publishing. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 239. 60 - 68. ISSN 1867-8211 https://link.springer.com/chapter/10.1007/978-3-319-78816-6_5 10.1007/978-3-319-78816-6_5
spellingShingle Abawajy, Jemal H.
Ninggal, Mohd Izuan Hafez
Al Aghbari, Zaher
Darem, Abdul Basit
Alhashmi, Asma
Privacy threat analysis of mobile social network data publishing
title Privacy threat analysis of mobile social network data publishing
title_full Privacy threat analysis of mobile social network data publishing
title_fullStr Privacy threat analysis of mobile social network data publishing
title_full_unstemmed Privacy threat analysis of mobile social network data publishing
title_short Privacy threat analysis of mobile social network data publishing
title_sort privacy threat analysis of mobile social network data publishing
url http://psasir.upm.edu.my/id/eprint/73641/1/Privacy%20threat%20analysis%20of%20mobile%20social%20network%20data%20publishing.pdf
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