计算机工程与应用2012，Vol.48Issue(20)：136-141,6.DOI:10.3778/j.issn.1002-8331.2012.20.028
多维敏感属性隐私保护数据发布方法
Privacy-preserving data publishing method for dataset with multi-dimensional sensitive attributes
摘要
Abstract
When publishing data with multiple sensitive attributes, an adversary may be able to get some sensitive attribute information, attack other sensitive attribute information through a combination of this background knowledge with quasi-identifier information. To avoid this problem, a formal multiple sensitive attributes data publication model is defined, named (Dou-/) -anonymity. The corresponding (Dou-/)-anonymity implementation algorithm is proposed based on the idea of multi-sensitive bucketization and lossy join. The findings are verified by experiments with real data.关键词
隐私保护/多敏感属性/数据发布/背景知识Key words
privacy preserving/ multiple sensitive attributes/ data publishing/ background knowledge分类
信息技术与安全科学引用本文复制引用
王胜和,王佳俊,刘腾腾,倪巍伟..多维敏感属性隐私保护数据发布方法[J].计算机工程与应用,2012,48(20):136-141,6.基金项目
国家自然科学基金(No.61003057). （No.61003057）
