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	A multi-dimensional k-anonymity model for hierarchical data
	Ye, Xiaojun ; Jin, Lei ; Li, Bin
	2008
英文摘要	For improving the usability of the anonymous result, it is important to comply with the hierarchical structure when generalizing quasi-identifying attributes with hierarchical characteristics. We propose an unrestricted multi-dimensional anonymization model which combines global recoding and local recoding methods. The bottom-up anonymization algorithm with the minimal coverage subgraph constraint and the anonymization metric are proposed. The experiment results justify the effectiveness and scalability of this model. ? 2008 IEEE.; EI; 0
语种	英语
DOI标识	10.1109/ISECS.2008.113
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/263294]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Ye, Xiaojun,Jin, Lei,Li, Bin. A multi-dimensional k-anonymity model for hierarchical data. 2008-01-01.

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