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K-匿名隐私保护模型下的Top-k查询
引用本文:辛婷婷,刘国华. K-匿名隐私保护模型下的Top-k查询[J]. 计算机科学与探索, 2011, 5(8): 751-759. DOI: 10.3778/j.issn.1673-9418.2011.08.008
作者姓名:辛婷婷  刘国华
作者单位:东华大学计算机科学与技术学院,上海,201620
基金项目:国家自然科学基金No.61070032~~
摘    要:数据查询问题是K-匿名隐私保护模型下数据可用性问题之一。提出一种K-匿名数据的空间数据组织方法及其索引方法;定义了两种新的查询UK-Rank和NT-Rank,UK-Rank主要应用于一些需要排序的查询,NT-Rank应用于点查询或者范围查询;采用了Monte-Carlo积分近似计算的抽样方法来提高查询效率。对提出的相关算法进行了实验,结果表明,将K-匿名数据组织成空间数据的方法是可行的,并且应用抽样方法后,查询效率大大提高。

关 键 词:Top-k查询  K-匿名数据  不确定数据库  偏序  R-tree
修稿时间: 

Top-k Queries under K-Anonymity Privacy Protection Model
XIN Tingting,LIU Guohua. Top-k Queries under K-Anonymity Privacy Protection Model[J]. Journal of Frontier of Computer Science and Technology, 2011, 5(8): 751-759. DOI: 10.3778/j.issn.1673-9418.2011.08.008
Authors:XIN Tingting  LIU Guohua
Affiliation:School of Computer Science and Technology, Donghua University, Shanghai 201620, China
Abstract:How to answer queries under the K-anonymity privacy protection model is one of problems for the availability of anonymized data. This paper proposes a translation method from K-anonymized data to spatial data and an indexing method. It defines two new queries for the availability of anonymized data, UK-Rank and NT-Rank. UK-Rank is mainly used in queries that require sorting, NT-Rank is used in the point query or range query. The Monte-Carlo integration is used to compute accurate estimate of probability and improves query efficiency. Finally, related experiments are conducted. The experimental results show that the translation from K-anonymized data to spatial data is feasible, and the query efficiency is greatly improved after the application of sampling methods.
Keywords:Top-k query  K-anonymized data  uncertain database  partial orders  R-tree
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