Secure unlinkability schemes for privacy preserving data publishing in weighted social networks / Chong Kah Meng
Preserving privacy of users has been one of the important research issues in social networks. Social networks contain sensitive personal information that are often released for business and research purposes. The privacy of a user can be breached if the data are not released in an anonymized form. I...
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| التنسيق: | أطروحة |
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2020
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| الوصول للمادة أونلاين: | http://studentsrepo.um.edu.my/13223/1/Chong_Kah_Meng.pdf http://studentsrepo.um.edu.my/13223/2/Chong_Kah_Meng.pdf http://studentsrepo.um.edu.my/13223/ |
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my.um.stud.132232022-04-26T22:46:16Z Secure unlinkability schemes for privacy preserving data publishing in weighted social networks / Chong Kah Meng Chong , Kah Meng Q Science (General) QA Mathematics Preserving privacy of users has been one of the important research issues in social networks. Social networks contain sensitive personal information that are often released for business and research purposes. The privacy of a user can be breached if the data are not released in an anonymized form. In this thesis, we address edge weight disclosure, link disclosure and identity disclosure problems in publishing weighted network data. To counter these privacy risks while preserving high utility of the published data, we define two key privacy properties, namely edge weight unlinkability and node unlinkability. We design two novel anonymization schemes namely MinSwap and 2020-11 Thesis NonPeerReviewed application/pdf http://studentsrepo.um.edu.my/13223/1/Chong_Kah_Meng.pdf application/pdf http://studentsrepo.um.edu.my/13223/2/Chong_Kah_Meng.pdf Chong , Kah Meng (2020) Secure unlinkability schemes for privacy preserving data publishing in weighted social networks / Chong Kah Meng. Masters thesis, Universiti Malaya. http://studentsrepo.um.edu.my/13223/ |
| institution |
Universiti Malaya |
| building |
UM Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Malaya |
| content_source |
UM Student Repository |
| url_provider |
http://studentsrepo.um.edu.my/ |
| topic |
Q Science (General) QA Mathematics |
| spellingShingle |
Q Science (General) QA Mathematics Chong , Kah Meng Secure unlinkability schemes for privacy preserving data publishing in weighted social networks / Chong Kah Meng |
| description |
Preserving privacy of users has been one of the important research issues in social networks. Social networks contain sensitive personal information that are often released for business and research purposes. The privacy of a user can be breached if the data are not released in an anonymized form. In this thesis, we address edge weight disclosure, link disclosure and identity disclosure problems in publishing weighted network data. To counter these privacy risks while preserving high utility of the published data, we define two key privacy properties, namely edge weight unlinkability and node unlinkability. We design two novel anonymization schemes namely MinSwap and |
| format |
Thesis |
| author |
Chong , Kah Meng |
| author_facet |
Chong , Kah Meng |
| author_sort |
Chong , Kah Meng |
| title |
Secure unlinkability schemes for privacy preserving data publishing in weighted social networks / Chong Kah Meng |
| title_short |
Secure unlinkability schemes for privacy preserving data publishing in weighted social networks / Chong Kah Meng |
| title_full |
Secure unlinkability schemes for privacy preserving data publishing in weighted social networks / Chong Kah Meng |
| title_fullStr |
Secure unlinkability schemes for privacy preserving data publishing in weighted social networks / Chong Kah Meng |
| title_full_unstemmed |
Secure unlinkability schemes for privacy preserving data publishing in weighted social networks / Chong Kah Meng |
| title_sort |
secure unlinkability schemes for privacy preserving data publishing in weighted social networks / chong kah meng |
| publishDate |
2020 |
| url |
http://studentsrepo.um.edu.my/13223/1/Chong_Kah_Meng.pdf http://studentsrepo.um.edu.my/13223/2/Chong_Kah_Meng.pdf http://studentsrepo.um.edu.my/13223/ |
| _version_ |
1738506687272189952 |
| score |
13.250246 |