基于大數據分析用戶隱私數據加密保護系統研究

楊軍莉

摘要：

傳統的數據挖掘算法已難以有效滿足現代隱私數據安全需求，分布式數據挖掘在大數據背景下普遍存在用戶隱私數據安全保護等能力有待提高的問題。為此完成了一種基于PPkmeans算法的用戶隱私數據加密保護方案的構建，該算法基于大數據，主要通過結合運用kmeans聚類挖掘算法與同態加密技術實現分布式用戶隱私數據保護，使大數據聚類挖掘效果得到有效提高，并通過實驗驗證了該算法的數據隱私安全保護功能的有效性和實用性。

關鍵詞：

大數據; 用戶隱私數據保護; 數據挖掘; 加密保護算法; 實現路徑

中圖分類號： TP309

文獻標志碼： 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