Privacy preserving social network data publication
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 sociolog...
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| Format: | Article |
| Language: | English |
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Institute of Electrical and Electronics Engineers
2016
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| Online Access: | http://psasir.upm.edu.my/id/eprint/53671/ http://psasir.upm.edu.my/id/eprint/53671/1/Privacy%20preserving%20social%20network%20data%20publication.pdf |
| _version_ | 1848852346026590208 |
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| author | Abawajy, Jemal H. Ninggal, Mohd Izuan Hafez Herawan, Tutut |
| author_facet | Abawajy, Jemal H. Ninggal, Mohd Izuan Hafez Herawan, Tutut |
| author_sort | Abawajy, Jemal H. |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T10:36:37Z |
| format | Article |
| id | upm-53671 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:36:37Z |
| publishDate | 2016 |
| publisher | Institute of Electrical and Electronics Engineers |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-536712018-01-04T04:19:41Z http://psasir.upm.edu.my/id/eprint/53671/ Privacy preserving social network data publication Abawajy, Jemal H. Ninggal, Mohd Izuan Hafez Herawan, Tutut 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. Institute of Electrical and Electronics Engineers 2016 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/53671/1/Privacy%20preserving%20social%20network%20data%20publication.pdf Abawajy, Jemal H. and Ninggal, Mohd Izuan Hafez and Herawan, Tutut (2016) Privacy preserving social network data publication. IEEE Communications Surveys and Tutorials, 18 (3). pp. 1974-1997. ISSN 1553-877X http://ieeexplore.ieee.org/document/7428813/ 10.1109/COMST.2016.2533668 |
| spellingShingle | Abawajy, Jemal H. Ninggal, Mohd Izuan Hafez Herawan, Tutut Privacy preserving social network data publication |
| title | Privacy preserving social network data publication |
| title_full | Privacy preserving social network data publication |
| title_fullStr | Privacy preserving social network data publication |
| title_full_unstemmed | Privacy preserving social network data publication |
| title_short | Privacy preserving social network data publication |
| title_sort | privacy preserving social network data publication |
| url | http://psasir.upm.edu.my/id/eprint/53671/ http://psasir.upm.edu.my/id/eprint/53671/ http://psasir.upm.edu.my/id/eprint/53671/ http://psasir.upm.edu.my/id/eprint/53671/1/Privacy%20preserving%20social%20network%20data%20publication.pdf |