A Framework For Privacy Diagnosis And Preservation In Data Publishing
Privacy preservation in data publishing aims at the publication of data with protecting private information. Although removing direct identifier of individuals seems to protect their anonymity at first glance, private information may be revealed by joining the data to other external data. Privacy p...
محفوظ في:
| المؤلف الرئيسي: | |
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| التنسيق: | أطروحة |
| اللغة: | English |
| منشور في: |
2010
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://eprints.usm.my/42061/1/MOHAMMAD_REZA_ZARE_MIRAKABAD.pdf |
| الوسوم: |
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my-usm-ep.42061 |
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my-usm-ep.420612019-04-12T05:26:53Z A Framework For Privacy Diagnosis And Preservation In Data Publishing 2010-04 Mirakabad, Mohammad Reza Zare QA75.5-76.95 Electronic computers. Computer science Privacy preservation in data publishing aims at the publication of data with protecting private information. Although removing direct identifier of individuals seems to protect their anonymity at first glance, private information may be revealed by joining the data to other external data. Privacy preservation addresses this privacy issue by introducing k-anonymity and l-diversity principles. Accordingly, privacy preservation techniques, namely k-anonymization and l-diversification algorithms, transform data (for example by generalization, suppression or fragmentation) to protect identity and sensitive information of individuals respectively. 2010-04 Thesis http://eprints.usm.my/42061/ http://eprints.usm.my/42061/1/MOHAMMAD_REZA_ZARE_MIRAKABAD.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Sains Komputer |
| institution |
Universiti Sains Malaysia |
| collection |
USM Institutional Repository |
| language |
English |
| topic |
QA75.5-76.95 Electronic computers Computer science |
| spellingShingle |
QA75.5-76.95 Electronic computers Computer science Mirakabad, Mohammad Reza Zare A Framework For Privacy Diagnosis And Preservation In Data Publishing |
| description |
Privacy preservation in data publishing aims at the publication of data with protecting private information. Although removing direct identifier of individuals
seems to protect their anonymity at first glance, private information may be revealed by joining the data to other external data. Privacy preservation addresses this privacy
issue by introducing k-anonymity and l-diversity principles. Accordingly, privacy preservation techniques, namely k-anonymization and l-diversification algorithms,
transform data (for example by generalization, suppression or fragmentation) to protect identity and sensitive information of individuals respectively. |
| format |
Thesis |
| qualification_name |
Doctor of Philosophy (PhD.) |
| qualification_level |
Doctorate |
| author |
Mirakabad, Mohammad Reza Zare |
| author_facet |
Mirakabad, Mohammad Reza Zare |
| author_sort |
Mirakabad, Mohammad Reza Zare |
| title |
A Framework For Privacy Diagnosis And
Preservation In Data Publishing
|
| title_short |
A Framework For Privacy Diagnosis And
Preservation In Data Publishing
|
| title_full |
A Framework For Privacy Diagnosis And
Preservation In Data Publishing
|
| title_fullStr |
A Framework For Privacy Diagnosis And
Preservation In Data Publishing
|
| title_full_unstemmed |
A Framework For Privacy Diagnosis And
Preservation In Data Publishing
|
| title_sort |
framework for privacy diagnosis and
preservation in data publishing |
| granting_institution |
Universiti Sains Malaysia |
| granting_department |
Pusat Pengajian Sains Komputer |
| publishDate |
2010 |
| url |
http://eprints.usm.my/42061/1/MOHAMMAD_REZA_ZARE_MIRAKABAD.pdf |
| _version_ |
1747821019350958080 |