计算机与现代化Issue(8)：168-171,174,5.DOI:10.3969/j.issn.1006-2475.2013.08.042
面向多敏感属性的隐私保护方法
Privacy Preserving Methods for Multiple Sensitive Attributes
摘要
Abstract
For the privacy leak problems of the existing multiple sensitive attributes data publishing methods,based on the multidimensional bucket grouping approach and the idea of decomposition,a new data publication model is defined,named (l1,l2,...,ld)-uniqueness,and the corresponding anonymous algorithm is proposed.The algorithm considers the distribution of the sensitive attribute values in the group,processes each sensitive attribute independently,and it can withstand the background attacks and the similarity attacks.The theoretical analysis and experiments show that the new method can effectively prevent the loss of privacy,and enhance data security.关键词
数据发布/多敏感属性/隐私保护/背景知识Key words
data publication/ multiple sensitive attributes / privacy preserving/ background knowledge分类
信息技术与安全科学引用本文复制引用
张兴兰,刘乐伟..面向多敏感属性的隐私保护方法[J].计算机与现代化,2013,(8):168-171,174,5.基金项目
国家自然科学基金资助项目(61170221) （61170221）
