Privacy Threat Analysis of Mobile Social Network Data Publishing

被引：1

作者：

Abawajy, Jemal H. ^{[1
]}

Ninggal, Mohd Izuan Hafez ^{[2
]}

Al Aghbari, Zaher ^{[3
]}

Darem, Abdul Basit ^{[4
]}

Alhashmi, Asma ^{[4
]}

机构：

[1] Deakin Univ, Sch Informat Technol, Geelong, Vic, Australia

[2] Univ Putra Malaysia, Dept Comp Sci, Putrajaya, Malaysia

[3] Univ Sharjah, Coll Sci, Sharjah, U Arab Emirates

[4] Univ Mysore, Dept Comp Sci, Mysore, Karnataka, India

来源：

SECURITY AND PRIVACY IN COMMUNICATION NETWORKS, SECURECOMM 2017 | 2018年 / 239卷

关键词：

Mobile social network; Social network data publication; Privacy attack; Re-identification attacks; Disclosure attacks; UTILITY;

D O I：

10.1007/978-3-319-78816-6_5

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：60 / 68

页数：9

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