2008 · 153 citations · 12 references
ComputingComputer ScienceCryptographyData ManagementDatabasesData AnonymizationData ConfidentialityData PrivacyData ProtectionData SecurityDatabase PrivacyAnonymityAttributesK-anonymityL-diversityPrivacyPrivacy-preserving DatabasesSensitive Data AnonymizationT-closeness
k-Anonymity is a privacy property requiring that all combinations of key attributes in a database be repeated at least for k records. It has been shown that k-anonymity alone does not always ensure privacy. A number of sophistications of k-anonymity have been proposed, like p-sensitive k-anonymity, l-diversity and t-closeness. This paper explores the shortcomings of those properties, none of which turns out to be completely convincing.
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t-Closeness: Privacy Beyond k-Anonymity and l-Diversity
Ninghui Li, Tiancheng Li, Suresh Venkatasubramanian · 2007 · 3.4K citations
Privacy-preserving data mining
Rakesh Agrawal, Ramakrishnan Srikant · ACM SIGMOD Record · 2000 · 3K citations
L-diversity: privacy beyond k-anonymity
Ashwin Machanavajjhala, Johannes Gehrke, Daniel Kifer et al. · 2006 · 2.4K citations