Journal of Systems Engineering and Electronics ›› 2011, Vol. 33 ›› Issue (9): 2139-2143.doi: 10.3969/j.issn.1001-506X.2011.09.41

• 软件、算法与仿真 • 上一篇    下一篇


郭昆1, 张岐山2   

  1. 1. 福州大学数学与计算机科学学院, 福建 福州 350108
    2. 福州大学管理学院, 福建 福州 350108
  • 出版日期:2011-09-17 发布日期:2010-01-03

K-anonymity method based on grey relational analysis and  its application in clustering

GUO Kun1, ZHANG Qi-shan2   

  1. 1. College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108, China
    2. School of Management, Fuzhou University, Fuzhou 350108, China
  • Online:2011-09-17 Published:2010-01-03




It is important to keep balance between the usefulness and the degree of privacy protection when the techniques of generalization and suppression are applied to the 
K-anonymization of data. A novel K-anonymity method implemented by grey relational analysis based on difference information theory is proposed. The similarity  between any two data sequences is described by their balanced closeness degrees. The generalization and suppression operations are carried out accordingly. The 
K-anonymized data are then applied in cluster analysis. The experimental results on the real data sets prove the effectiveness of the proposed method.