Multi-Level Privacy Preserving K-Anonymity
2021 16th Asia Joint Conference on Information Security (AsiaJCIS)(2021)
摘要
k-anonymity is a well-known definition of privacy, which guarantees that any person in the released dataset cannot be distinguished from at least k-1 other individuals. In the protection model, the records are anonymized through generalization or suppression with a fixed value of k. Accordingly, each record has the same level of anonymity in the published dataset. However, different people or item...
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关键词
Measurement,Privacy,Data privacy,Costs,Data integrity,Asia,Clustering algorithms
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