Review on E-Health Care using Big Data & Hadoop Map Reduce
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International Journal of Computer & Organization Trends (IJCOT) |  |
| © 2017 by IJCOT Journal | ||
| Volume - 7 Issue - 3 |
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| Year of Publication : 2017 | ||
| Authors : B.Prasanna, A.Prema | ||
| DOI : 10.14445/22492593/IJCOT-V43P302 |
Citation
B.Prasanna, A.Prema "Review on E-Health Care using Big Data & Hadoop Map Reduce", International Journal of Computer & organization Trends (IJCOT), V7(3):8-12 May - Jun 2017, ISSN:2249-2593, www.ijcotjournal.org. Published by Seventh Sense Research Group.
Abstract Cloud computing is one of the increasing computing technologies in spread paradigm. Even though technology is rising quickly, but any illegal user can use the weakness for cloud computing system. Big data is a term for data sets that are so large or complex that traditional data processing application software’s are inadequate to deal with them. Challenges contain imprison, storage space, testing, data creation, search, input, move, apparition, querying, and updating and information privacy. Different types of approaches are in development to keep the privacy of this system. In this paper, we use a capable encryption algorithm to secure E-Hospital management in the cloud and give segmentation to maintain secret medical record of cloud, For reducing the record size, we used Hadoop and Map Reduce E-Health is a general used system, widely known as electronic health, where there live many types of services, providing electronic health records, prescriptions, healthcare information systems, etc. In this paper, a successful security framework, which is authentication technique that suits the recent e-health, is proposed.
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Keywords
E-Health, Big Data, Hadoop, Cloud, Map Reduce.