基于大數(shù)據(jù)分析用戶(hù)隱私數(shù)據(jù)加密保護(hù)系統(tǒng)研究

楊軍莉

摘要：

傳統(tǒng)的數(shù)據(jù)挖掘算法已難以有效滿足現(xiàn)代隱私數(shù)據(jù)安全需求，分布式數(shù)據(jù)挖掘在大數(shù)據(jù)背景下普遍存在用戶(hù)隱私數(shù)據(jù)安全保護(hù)等能力有待提高的問(wèn)題。為此完成了一種基于PPkmeans算法的用戶(hù)隱私數(shù)據(jù)加密保護(hù)方案的構(gòu)建，該算法基于大數(shù)據(jù)，主要通過(guò)結(jié)合運(yùn)用kmeans聚類(lèi)挖掘算法與同態(tài)加密技術(shù)實(shí)現(xiàn)分布式用戶(hù)隱私數(shù)據(jù)保護(hù)，使大數(shù)據(jù)聚類(lèi)挖掘效果得到有效提高，并通過(guò)實(shí)驗(yàn)驗(yàn)證了該算法的數(shù)據(jù)隱私安全保護(hù)功能的有效性和實(shí)用性。

關(guān)鍵詞：

大數(shù)據(jù); 用戶(hù)隱私數(shù)據(jù)保護(hù); 數(shù)據(jù)挖掘; 加密保護(hù)算法; 實(shí)現(xiàn)路徑

中圖分類(lèi)號(hào)： TP309

文獻(xiàn)標(biāo)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