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垂直分布下的隐私保护频繁闭合项集挖掘算法
引用本文:明媚,缪裕青,李世令,李云辉.垂直分布下的隐私保护频繁闭合项集挖掘算法[J].桂林电子科技大学学报,2014(4):295-299.
作者姓名:明媚  缪裕青  李世令  李云辉
作者单位:桂林电子科技大学计算机科学与工程学院,广西桂林,541004
基金项目:广西教育厅科研项目(LD13037B,201204LX122),广西可信软件重点实验室开放基金(kx201116)
摘    要:针对垂直分布下的隐私保护关联规则挖掘算法效率低、安全性不高的问题,提出一种隐私保护频繁闭合项集的挖掘算法。算法利用挖掘频繁闭合项集代替频繁项集,IT-Tree作为搜索空间,Diffsets作为压缩结构,采用基于RSA可交换加密算法的隐私保护集合差集协议。实验结果表明,算法具有较好的隐私性、准确性、高效性。

关 键 词:隐私保护  关联规则  频繁闭合项集  差集协议  Diffsets

Privacy preserving frequent closed itemsets mining algorithm in vertically partitioned data
Ming Mei,Miao Yuqing,Li Shiling,Li Yunhui.Privacy preserving frequent closed itemsets mining algorithm in vertically partitioned data[J].Journal of Guilin Institute of Electronic Technology,2014(4):295-299.
Authors:Ming Mei  Miao Yuqing  Li Shiling  Li Yunhui
Affiliation:(School of Computer Science and Engineering, Guilin University of Electronic Technology, Guilin 541004, China)
Abstract:The existing privacy preserving association rule mining algorithms in vertically partitioned data is lower efficient and unsafe,so a new privacy protection algorithm for mining frequent closed itemsets is proposed.The algorithm generates frequent closed itemsets instead of frequent itemsets with IT-Tree as the search space and Diffsets as a compressed struc-ture.The algorithm uses the difference set of privacy preserving protocol based on exchangeable RSA encryption.Theoreti-cal analysis and experimental results show that the algorithm improves security,accuracy and efficiency.
Keywords:privacy protection  association rule  frequent closed itemsets  difference set protocol  Diffsets
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