An approach to provide security and privacy in e-health care system using hadoop mr
International Journal of Development Research
An approach to provide security and privacy in e-health care system using hadoop mr
Received 15th April, 2017; Received in revised form 07th May, 2017; Accepted 26th June, 2017; Published online 31st July, 2017
Copyright ©2017, Prasanna and Prema. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Big data and cloud computing is the backbone to the modern Data Storage, which provide a perfect security for data repository in the recent systems and managed with the cloud computing. 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 include capture, storage, analysis, data curation, search, sharing, transfer, visualization, querying, and updating and information privacy. Hadoop is the core platform for structuring Big Data, and solves the problem of making it useful for analytics purposes. It is designed to scale up from a single server to thousands of machine, with a very high degree of defect easily. In this paper, we propose an e-health protection framework using Map Reduce Technique.