Privacy preserving social network data publication

Abawajy, Jemal H., Ninggal, Mohd Izuan Hafez and Herawan, Tutut 2016, Privacy preserving social network data publication, IEEE communications surveys & tutorials, vol. 18, no. 3, pp. 1974-1997, doi: 10.1109/COMST.2016.2533668.

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Title Privacy preserving social network data publication
Author(s) Abawajy, Jemal H.ORCID iD for Abawajy, Jemal H.
Ninggal, Mohd Izuan Hafez
Herawan, Tutut
Journal name IEEE communications surveys & tutorials
Volume number 18
Issue number 3
Start page 1974
End page 1997
Total pages 24
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2016-03-08
ISSN 1553-877X
Keyword(s) social network data
privacy attacks
anonymized graphs
privacy preserving
data privacy
Summary The introduction of online social networks (OSN) has transformed the way people connect and interact with each other as well as share information. OSN have led to a tremendous explosion of network-centric data that could be harvested for better understanding of interesting phenomena such as sociological and behavioural aspects of individuals or groups. As a result, online social network service operators are compelled to publish the social network data for use by third party consumers such as researchers and advertisers. As social network data publication is vulnerable to a wide variety of reidentification and disclosure attacks, developing privacy preserving mechanisms are an active research area. This paper presents a comprehensive survey of the recent developments in social networks data publishing privacy risks, attacks, and privacy-preserving techniques. We survey and present various types of privacy attacks and information exploited by adversaries to perpetrate privacy attacks on anonymized social network data. We present an in-depth survey of the state-of-the-art privacy preserving techniques for social network data publishing, metrics for quantifying the anonymity level provided, and information loss as well as challenges and new research directions. The survey helps readers understand the threats, various privacy preserving mechanisms, and their vulnerabilities to privacy breach attacks in social network data publishing as well as observe common themes and future directions.
Language eng
DOI 10.1109/COMST.2016.2533668
Field of Research 080503 Networking and Communications
080303 Computer System Security
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2016, IEEE
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Document type: Journal Article
Collection: School of Information Technology
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