分布式数据库保持隐私挖掘方法

Implementation for privacy-preserving distributed mining

隐私保护是当前数据挖掘领域中一个十分重要的研究问题,其目标是要在不精确访问真实原始数据的条件下,得到准确的模型和分析结果。为了提高对隐私数据的保护程度和挖掘结果的准确性,提出一种基于RSA算法的隐私保护挖掘方法。介绍了公共密钥加密算法RSA的概念,证明了RSA算法的可交换性和加密结果惟一性。然后采用RSA算法,引入了计算中心和混合中心,对原始数据进行了变换和隐藏,实现了保持隐私数据挖掘。最后,对算法的安全性、公平性、有效性和复杂度进行了分析。

Privacy preservation is one of the most important topics in data mining field. The purpose is to discover accurate patterns without precise access to the original data. In order to improve the privacy preservation and mining accuracy, an effective method based RSA for privacy data mining is presented. First, the interchange ability and the exclusive of RSA algorithm are proved out, Then, the two co-workers, computation center and mix center, are introduced to transform and hide original data, In this approach, a highefficient implementation forprivacy-preserving mining is presented. In the end, analysis in security, fairness, validity, efficiency and complexity are carried on.