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云数据在数据挖掘中的隐私保护
引用本文:陶林波,沈建京,游庆祥,郭佳.云数据在数据挖掘中的隐私保护[J].计算机科学,2016,43(5):113-116.
作者姓名:陶林波  沈建京  游庆祥  郭佳
作者单位:解放军信息工程大学理学院 郑州450001,解放军信息工程大学理学院 郑州450001,常州工学院 常州213002,解放军信息工程大学理学院 郑州450001
摘    要:云计算环境下用户数据的集中存储为数据挖掘提供了便利条件,同时也为用户的隐私保护带来了挑战。为了解决云数据在数据挖掘条件下的隐私保护问题,提出了云计算环境下的隐私保护模型。该模型以公有云为基础,增加了一个分类预处理模块,设定了分类标准,详细讨论了分类后数据的处理方法,并讨论了该模型下数据的检索、还原方法以及运行环境保护、数据的云端销毁等环节。最后对模型的复杂性及安全性进行理论的对比分析,证明了该模型在数据挖掘条件下对云数据隐私保护的有效性。

关 键 词:云计算  数据挖掘  核心数据  隐私保护
收稿时间:2015/3/18 0:00:00
修稿时间:2015/7/17 0:00:00

Privacy Protection under Cloud Computing against Data Mining
TAO Lin-bo,SHEN Jian-jing,YOU Qing-xiang and GUO Jia.Privacy Protection under Cloud Computing against Data Mining[J].Computer Science,2016,43(5):113-116.
Authors:TAO Lin-bo  SHEN Jian-jing  YOU Qing-xiang and GUO Jia
Affiliation:School of Arts and Sciences,PLA Information Engineering University,Zhengzhou 450001,China,School of Arts and Sciences,PLA Information Engineering University,Zhengzhou 450001,China,Changzhou Institute of Technology,Changzhou 213002,China and School of Arts and Sciences,PLA Information Engineering University,Zhengzhou 450001,China
Abstract:Data storage under cloud environments is both convenient for data mining and challengeable for privacy protection.In order to solve the problem of privacy protection against data mining in cloud computing,a model was presented under the circumstance of public cloud.A classification and prepocessing module was added to the model.Classification criteria and processing methods of data were discussed in detail together with information retrieval,data reduction,file running protection and data destruction.The security effectiveness of the model was proved through theory analysis.
Keywords:Cloud computing  Data mining  Core data  Privacy protection
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