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智能电网用户侧信息隐私保护方法的研究与应用*
引用本文:郭晓利,张佳佳.智能电网用户侧信息隐私保护方法的研究与应用*[J].电测与仪表,2016,53(24):94-99.
作者姓名:郭晓利  张佳佳
作者单位:东北电力大学信息工程学院,吉林吉林,132012
基金项目:国家自然科学基金资助项目(51277023)
摘    要:在智能电网的不断建设和发展过程中积累了大量的基础用电数据,这些数据不仅具有海量、高频、分散等特点,是时空、动态、关系等性质复杂的数据,而且数据之间存在关联性和相似性。因此,传统的隐私保护方法对电力数据保护会有较大的信息损失,时间损耗,基于数据分类处理的思想,提出支持多属性泛化的随机化的隐私保护方法对电力信息数据进行分级保护,将准标识符属性按照自底向上支持多属性泛化的算法处理,敏感属性进行随机化算法处理,生成保护后的新数据表。通过与广泛应用的MBF算法,GASCG算法进行实验比较得出结论,该方法可以极大的提高隐私保护的效率降低个人信息的损失并且数据的效用性大大提高。

关 键 词:数据分类处理  k-匿名  泛化  随机扰动  多敏感属性
收稿时间:2015/9/30 0:00:00
修稿时间:2015/11/3 0:00:00

The Research and Application of smart grid user-side information privacy protection method
GUO Xiaoli and ZHANG Jiajia.The Research and Application of smart grid user-side information privacy protection method[J].Electrical Measurement & Instrumentation,2016,53(24):94-99.
Authors:GUO Xiaoli and ZHANG Jiajia
Affiliation:Information engineering college of Northeast Dianli University,Northeast Dianli University
Abstract:A great deal of basic electricity data has been constructed in the development of smart grid .These data are not only massive , high-frequency , dispersion and the nature of time and space , dynamic has complex data relation-ships, and there is relevance and comparability between the data .Therefore, the traditional method of privacy protec-tion will cause greater information loss and time consumption .Based on the idea of data classification , this paper pro-posed a method which can protect the power rating information .A new data table protection is conducted through bot-tom-up quasi-identifier attributes , and the sensitive attributes are randomized .The experiment results show that com-pared with the widely used algorithm MBF and GASCG , the method can greatly improve the efficiency of the privacy protection while reduce the less personal information and the effectiveness of data is greatly increased .
Keywords:disposal different kinds of data  k-anonym  generalization  stochastic disturbance  multi-sensitive attrib-utes
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