Prognosticating zika virus disease and hybrid cryptosystem for securing healthcare data in cloud storage

Abstract

Over recent periods, healthcare analytics in cloud background has a newlinechallenging task for impending into a very huge data set for humanizing the newlinehealth services. This massive amount of data, which is being produced newlineconstantly over a elongated period of time, has put a enormous deal of newlinepressure on the note down performance as well as on scalability. newlineFurthermore there is a necessity of proficient storage and processing it newlinemeaningfully of these data which is an exigent issue. The method we were newlineused in the traditional days is very difficult to manage the huge data which is newlineunable to feel better because of updating in patient health analysis and varied newlinenature. The storage services provided by cloud storage will have some major newlineissues on security. The data security is one of the most important issues newlinerelated to authentication and integrity of data. The main purpose of data is to newlineshare data, resources to the user and data accumulation in cloud storage. newlineEvery organization is moving to cloud because of its pay per use concept. It newlineis well reached because of its flexibility and ease to use option. Many cloud newlineservice providers are available in which the organization will choose the newlineopted one depends upon their needs. One of the biggest moving fields to newlinecloud is healthcare. Here all the healthcare organizations are shifting to newlinecloud because of its huge data of patients health record, medical oriented newlinereports etc. Many healthcare organizations are using IoT devices for newlinemonitoring patients health condition. While doing this many data need to be newlinestored for diagnosing the disease or infection. So there is a need for storing newlinemassive number of data for future reference also. Here the need of cloud newlinecomes; the data are accumulated in the cloud and secured for a user to use at newlinethe time of need. newlineviii newlineThe healthcare uses the artificial intelligence and machine learning newlinefor diagnosing the disease because of its deep knowledge in analyzing the newlinedata like human. Many prediction systems available for finding the disease newlinebased on the data t