Intelligent Data Aggregation and Merging Algorithms for Secured Storage of Medical Information in Cloud

Authors(2) :-A. Antonidoss, D. Manjula

Data aggregation is playing major role in cloud environment for providing data security in terms of effective storage. Secure storage is a crucial task when stored the confidential data such as medical reports, official secrets and organization resources on cloud. This is time to propose a new technique for secured storage. For that purpose, we propose a new secured storage model using cryptography. This model uses a newly proposed data aggregation algorithm for forming effective group and a new data partitioning method for extracting the useful data which are grouped securely. Finally, a new data merging algorithm for segregating the original data which are partitioned in this model. The proposed model is useful for securing confidential medical data and also for making effective decisions over the diseases by medical expert systems. Experiments have been conducted in this research work for evaluating the efficiency of the proposed secured storage model by using UCI Repository medical datasets.

Authors and Affiliations

A. Antonidoss
Department of Computer Science and Engineering, College of Engineering Guindy, Anna University, Chennai, Tamilnadu, India
D. Manjula
Department of Computer Science and Engineering, College of Engineering Guindy, Anna University, Chennai, Tamilnadu, India

Cloud Computing, Medical expert system, Secured Data Storage, Data Aggregation, Data Partitioning, Data Merging.

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Publication Details

Published in : Volume 2 | Issue 2 | March-April 2016
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 175-180
Manuscript Number : IJSRSET162249
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

A. Antonidoss, D. Manjula, " Intelligent Data Aggregation and Merging Algorithms for Secured Storage of Medical Information in Cloud , International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 2, pp.175-180, March-April.2016
URL : http://ijsrset.com/IJSRSET162249

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