Computer Science ›› 2017, Vol. 44 ›› Issue (7): 42-46.doi: 10.11896/j.issn.1002-137X.2017.07.008

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Classification Anonymity Algorithm Based on Weight Attributes Entropy

LIAO Jun, JIANG Chao-hui, GUO Chun and PING Yuan   

  • Online:2018-11-13 Published:2018-11-13

Abstract: In order to efficiently protect data privacy being not leaked,which have high availability,a classification anony-mous method based on weight attributes entropy(WECA) was proposed.The method builds on application-specific background of data classification mining,and calculates the classification importance of different standard identifier to sensitive attribute by the concept of information entropy in the data set,which selects the highest ratio of weight attribu-tes entropy in classification quasi-identifier attributes to favorably divide the classification tree.The method also constructs the anonymous information loss measures of classification,which ensures the utility of classification on the premise of protecting privacy data.Finally,the experimental results on the standard data set show that the algorithm has fewer anonymous losses and higher classification accuracy,improving data availability.

Key words: Privacy protection,Classification anonymous,Weight attributes entropy,Classification accuracy

[1] FENG D G,ZHANG M,LI H.Big data security and privacyprotection [J].Chinese Journal of Computers,2014,37(1):246-258.(in Chinese) 冯登国,张敏,李昊.大数据安全与隐私保护[J].计算机学报,2014,7(1):246-258.
[2] LIU Y H,ZHANG T Y,JIN X L,et al.Personal privacy protection in the era of big data [J].Journal of Computer Research and Development,2015,52(1):229-247.(in Chinese) 刘雅辉,张铁赢,勒小龙,等.大数据时代的个人隐私保护[J].计算机研究与发展,2015,2(1):229-247.
[3] SWEENEY L.K-anonymity:a model for protecting privacy[J].International Journal on Uncertainty,Fuzziness and Knowledge based Systems,2002,10(5):571-578.
[4] AGGARWAL G,PANIGRAHY R,FEDR T,et al.Achievinganonymity via clustering [J].ACM Transactions on Algorithms,2010,6(3):1-19.
[5] B C,FUNG M,WANG K,et al.Top-Down Specialization for Information and Privacy Preservation[C]∥Proceedings of the 21st IEEE International Conference on Data Engineering (ICDE2005).Tokyo Japan,2005:205-216.
[6] XU J,WANG WEI,PEI J,et al.Utility-based anonymization using local recoding[C]∥ Proceedings of the 12th International Conference on Knowledge Discovery and Data Mining (SIGK-DD).Philadelphia,PA,USA,2006:785-790.
[7] LI T C,LI N H.On the tradeoff between privacy and utility in data publishing [C]∥Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.New York,NY,USA:Association for Computing Machinery,2009:517-525.
[8] SHEN Y G,SHAO H,ZHANG Y Q.Research on privacy preserving distributed decision-tree classification algorithm[J].Application Research of Computers,2010,7(8):3070-3072.(in Chinese) 申艳光,邵慧,张永强.隐私保护的分布式决策树分类算法的研究[J].计算机应用研究,2010,7(8):3070-3072.
[9] LI G,WANG Y D.An improved privacy-preserving classifica-tion mining method based on singular value decomposition [J].ACTA Electronica Sinica,2012,0(4):739-744.(in Chinese) 李光,王亚东.一种改进的基于奇异值分解的隐私保持分类挖掘方法[J].电子学报,2012,0(4):739-744.
[10] KISILEVICH S,ROKACH L,ELOVICI Y,et al.Efficient multidimensional suppression for K-anonymity[J].IEEE Transactions on Knowledge and Data Engineering,2010,2(3):334-347.
[11] ZHAO S,CHEN L.Personalized (a,l)-anonymity method based on sensitivity[J].Computer Engineering,2015,1(1):115-120.(in Chinese) 赵爽,陈力.基于敏感度个性化 (a,l)-匿名方法[J].计算机工程,2015,41(1):115-120.
[12] YANG J,WANG C,ZHANG J P,et al.Micro-aggregation algorithm based on sensitive attribute entropy[J].ACTA Electronica Sinica,2014,2(7):1327-1337.(in Chinese) 杨静,王超,张健沛,等.基于敏感属性熵的微聚集算法[J].电子学报,2014,2(7):1327-1337.
[13] LI J Y,LIU J X,BAIG M.Information based data anonymization for classification utility[J].IEEE Transactions on Knowle-dge and Data Engineering,2011,0(12):1030-1045.
[14] XU Y,QIN X L,YANG Y T,et al.A QIweight-aware approach to privacy preserving publishing data set[J].Journal of Compu-ter Research and Development,2012,9(5):913-924.(in Chinese) 徐勇,秦小麟,杨一涛,等.一种考虑属性权重的隐私保护数据发布方法[J].计算机研究与发展,2012,9(5):913-924.

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