Mining Association Rule for Horizontally Partitioned Databases Using CK Secure Sum Technique

Jayanti Danasana; Raghvendra Kumar; Debadutta Dey

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Mining Association Rule for Horizontally Partitioned Databases Using CK Secure Sum Technique

机译：使用CK安全和技术挖掘水平分区数据库的关联规则。

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The security of the large database becomes a serious issue while sharing the data to the network against unauthorised access. However in order to provide the security many researchers cited the issue of Secured Multiparty Computation (SMC) that allows multiple parties to compute some function of their inputs without disclosing the actual input to one another. Secure sum computation method is popularly and widely accepted due to its simple and thorough solution. The outcomes of our proposed procedure provide a significant result so that it becomes impossible for semi honest party to know the private data of some other sites.

机译：在将数据共享给网络以防止未经授权的访问时，大型数据库的安全性成为一个严重的问题。但是，为了提供安全性，许多研究人员引用了安全多方计算（SMC）的问题，该问题允许多方计算其输入的某些功能，而无需彼此透露实际输入。安全和计算方法以其简单而彻底的解决方案而被广泛接受。我们提议的过程的结果提供了重要的结果，因此半诚实的当事人不可能知道其他一些站点的私人数据。

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《International Journal of Distributed and Parallel Systems》 |2012年第6期|共页
作者
Jayanti Danasana; Raghvendra Kumar; Debadutta Dey;
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中图分类 TP311.13;
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Mining Association Rule for Horizontally Partitioned Databases Using CK Secure Sum Technique

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