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Modified Data Duplication Algorithm to Minimize the Redudancy of Data in Medical Database

Affiliations

  • Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli – 627012, Tamil Nadu, India
  • Department of Computer Science, Rani Anna Government College for Women, Tirunelveli – 627008, Tamil Nadu, India

Abstract


Objective: To secure and reduce the data duplication in medical databases using Modified Sliding and Windowing proposed method. Method: Here we proposed Modified Sliding and Windowing technique (MSW). It enables the users to command entry of outsourced information notwithstanding though the proprietorship changes progressively by misusing randomized merged encryption, secures possession aggregate key appropriation. This counteracts information spillage not exclusively to denied user despite the fact that they already possessed that information, additionally to a legit however inquisitive distributed storages servers. Findings/ Results: The MSW method gives higher Effectiveness and lesser delay for finding duplication. This method consumes less Memory and provide greater accuracy than the existing duplication algorithms. The comparison is done with NS2 (Network Simulator2) using different dataset. Hence this proposed research can be used to reduce the data duplication in advanced databases with lesser correlations and parameters. Application/ Improvements: Data duplication algorithm can be improved in future by adding more parameters with higher accuracy based on severe attacks in future.

Keywords

Data-Mining, Duplication, Navie Bayes Classifier, Privacy Mechanism.

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