分布式环境中保护隐私数据挖掘算法研究

Research on the privacy preserving data mining in distributed environment

设计了将多参数随机干扰与Paillier同态加密技术相结合的ARPRD算法与基于SMGSP协议的PPVDR算法,分别研究了水平与垂直分布式环境中保护隐私数据挖掘算法,并通过实验证明两种算法可以在保护隐私的前提下,提高挖掘精确度与计算效率。

This paper designs a distributed privacy preserving association rules mining algorithm,which based on multi- parameter random disturbance and homomorphism encryption,and a vertical distributed environment privacy preserving association rules mining algorithm based on the protocol of SMGSP.Through experiments prove the two algorithms can improve accuracy of mining and computing efficiency while protecting privacy.