基于大数据分析用户隐私数据加密保护系统研究

杨军莉

摘要：

傳统的数据挖掘算法已难以有效满足现代隐私数据安全需求，分布式数据挖掘在大数据背景下普遍存在用户隐私数据安全保护等能力有待提高的问题。为此完成了一种基于PPkmeans算法的用户隐私数据加密保护方案的构建，该算法基于大数据，主要通过结合运用kmeans聚类挖掘算法与同态加密技术实现分布式用户隐私数据保护，使大数据聚类挖掘效果得到有效提高，并通过实验验证了该算法的数据隐私安全保护功能的有效性和实用性。

关键词：

大数据; 用户隐私数据保护; 数据挖掘; 加密保护算法; 实现路径

中图分类号： TP309

文献标志码： A

Research on User Privacy Data Encryption Protection System Based on Big Data Analysis

YANG Junli

（School of Management， Shanxi Technical College of Finance & Economics， Xianyang， Shanxi 712000， China）

Abstract：

Traditional data mining algorithms have been unable to effectively meet the requirements of modern privacy data security. In the context of big data， distributed data mining generally has problems such as the need to improve user privacy data security protection capabilities. To this end， this paper has completed the construction of a user privacy data encryption protection scheme based on the PPkmeans algorithm. This algorithm is based on big data. It mainly implements distributed user privacy data by using kmeans clustering mining algorithm and homomorphic encryption technology. The protection effectively improves the effect of clustering and mining of big data， and the effectiveness and practicability of the data privacy protection function of the algorithm are verified by experiments.

Key words：

big data; user privacy data protection; data mining; encryption protection algorithm; implementation path