文章基本信息

标题：(d,l)-diversity: Privacy Preservation for Publication Numerical Sensitive Data
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作者：Mohammad-Reza Zare-Mirakabad
期刊名称：Computer Science & Information Technology
电子版ISSN：2231-5403
出版年度：2012
卷号：2
期号：3
页码：535-543
DOI：10.5121/csit.2012.2352
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：¦Å,m)-anonymity considers ¦Åas the interval to define similarity between two values, an d m as the level of privacy protection. For example {40,60} satisfies (¦Å,m)-anonymity but {40,50,60} doesn't, for ¦Å=15 and m=2. We show that protection in {40,50,60} sensitive values of an equivalence class is not less (if don't say more) than {40,60}. Therefore, although (¦Å,m)-anonymity has well studied publication of numerical sensitive values, it fails to address proximity in the right way. Accordingly, we introduce a revised principle which solve this problem by introducing (¦Ä,l)-diversity principle. Surprisingly, in contrast with (¦Å,m)-anonymity, the proposed principle respects monotonicity property which makes it adoptable to be exploited in other anonymity principles.
关键词：k-anonymity; privacy preservation; (;¦Å;m)-anonymity; monotonicity; proximity