A method of Enhanced t - Closeness for privacy protection

Song Yang, Liu Lijie, Zhang Jianpei, Yang Jing
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引用次数: 2

Abstract

For t-Closeness which did not give a specific algorithm, and the semantic privacy can't custom question, on the basis of model of t-Closeness and enhanced k-anonymity technology, Enhanced t-closeness privacy protection method is proposed in this paper, gives a semantic privacy degree measure and specific implementation of the algorithm. This article gives two specific algorithms: a top-down approach and a method based on the genetic classification. Using this method can enhance the ability of resistance similar to sexual assault, effectively prevent privacy leaks, and ensure the availability of the data quality.
一种用于隐私保护的增强t - close方法
针对没有给出具体算法的t-close,以及语义隐私不能自定义的问题,本文在t-close模型和增强k-匿名技术的基础上,提出了增强t-close隐私保护方法,给出了语义隐私度度量和算法的具体实现。本文给出了两种具体的算法:自顶向下的方法和基于遗传分类的方法。使用这种方法可以增强类似性侵犯的抵抗能力,有效防止隐私泄露,保证数据质量的可用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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