Secure Outsourced Comparison Scheme for Partitioned Databases
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 12
Abstract
In different applications that uses cloud, studies a range of data analysis techniques. The most popular data analysis techniques were association rule mining and frequent itemset mining. In this paper we focus on outsourced comparison scheme for partitioned databases. This paper mainly concern about data security. It prevents accessing of shared data among different users. We provide homomorphic encryption scheme and a comparison scheme for data privacy. Association rule mining can be used for effectively getting data from portioned databases. Resource consumption can be reduced by the usage of cloud servers for data and computing.
Authors and Affiliations
Neethu Rosiline, T Sivakumar, Sreedarsa K. S
Keywords
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