Computer Engineering and Applications ›› 2020, Vol. 56 ›› Issue (5): 80-84.DOI: 10.3778/j.issn.1002-8331.1812-0152

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Privacy Behavior Mining Technology for Cloud Computing Based on Clustering

WANG Jie, CHEN Zhigang, LIU Jialing, CHENG Hongbing   

  1. 1.School of Computer Science & Engineering, Central South University, Changsha 410012, China
    2.College of Computer Science & Technology, Hengyang Normal College, Hengyang, Hunan 421002, China
    3.College of Computer Science & Technology, Zhejiang University of Technology, Hangzhou 310023, China
  • Online:2020-03-01 Published:2020-03-06



  1. 1.中南大学 计算机学院,长沙 410012
    2.衡阳师范学院 计算机科学与技术学院,湖南 衡阳 421002
    3.浙江工业大学 计算机科学与技术学院,杭州 310023


With the continuous popularity of cloud computing, privacy and security issues have gradually emerged, which has become an important factor restricting the development of cloud computing. Inspired by the economic and social “accountability system”, this paper, from the perspective of regulating and restricting the privacy behavior of cloud partici-pants, aims at the identification of privacy breach of contract of cloud participants, conducts a research based on the mining of privacy behavior of censors. Firstly, the data of privacy log behavior are preprocessed, then the similarity between any two privacy sessions is defined by the angle cosine method, and the similarity matrix between cloud privacy is constructed. Finally, it chooses K-means clustering algorithm to cluster the similarity of privacy sessions based on the set cloud privacy rules. Experimental results show that the proposed privacy clustering mining technology can accurately identify and cluster the privacy behavior similarity of cloud systems.

Key words: cloud computing, privacy-preserving, clustering, data mining



关键词: 云计算, 隐私保护, 聚类, 数据挖掘