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发布时间：2018-12-18

第一作者：Jianmin Han

发表时间：2013-01-01

发表刊物：Journal of Software

所属单位：数理与信息工程学院

文献类型：期刊

卷号：Vol.8

期号：No.12

页面范围： 3096-3104

ISSN号：1796-217X

关键字：k-anonymity;l-diversity;multi-dimension;bucketization;method;SLOMS

摘要：Multi-dimension bucketization is a typical method to anonymize multiple sensitive attributes. However, the method leads to low data utility when microdata have more sensitive attributes. In addition, the methods do not generalize quasi-identifiers, which

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