Privacy beyond single sensitive attribute
Publishing individual specific microdata has serious privacy implications. The k-anonymity model has been proposed to prevent identity disclosure from microdata, and the work on ℓ-diversity and t-closeness attempt to address attribute disclosure. However, most current work only deal with publishing...
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Main Authors: | FANG, Yuan, ASHRAFI, Mafruz Zaman, NG, See Kiong |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2011
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Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/4062 https://ink.library.smu.edu.sg/context/sis_research/article/5065/viewcontent/Privacy_beyond_single_sensitive_attribute_2011.pdf |
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Institution: | Singapore Management University |
Language: | English |
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