Confidential data management and optimal Space utilization in cloud

Abstract

Data is one of the major parts of computer science and computing newlinemethodologies. Data is growing rapidly in terms of volume, variety, and newlinevelocity provides bigdata. Bigdata is generated from various resources of newlineseveral computing areas like military, e-commerce, healthcare and so on. newlineOne of the most important areas which influence general public necessity in newlinethe healthcare industry. Bigdata in healthcare is increasing day by day and newlinetime by time. Big data in the healthcare industry is considered as a timeseries newlinedata where it has been obtained from a greater number of medical newlineequipment, IoT devices and sensors directly from the patient s body. Since newlinethe data is growing rapidly and directly in a different modality like medical newlineimages, video, signals, and data, integrating, processing, predicting and newlinesecuring the bigdata in healthcare is difficult. By developing novel methods newlineand techniques, analyzing big data in healthcare is highly possible and is newlineeasy. Whereas, because of cloud storage, providing security for bigdata in newlinehealthcare is difficult. newlineA major portion of the healthcare data comprises personal newlineinformation of the patients where it can be shared only among the authorized newlinemedical experts related to the data. Same time, the cloud provides more newlineservices, where anyone can access from anywhere at any time. So, it is newlineessential to secure the private data of bigdata in healthcare. Several earlier newlineresearch works have been focused on providing security for bigdata in newlinehealthcare. But the prevention accuracy is less because, security provision newlinehas more pathways like user-based, cryptography-based and data newlinemanagement or transmission-based. Rather than the existing research newlineworks, this research work incorporates three different ways of security for newlinebigdata in healthcare. This research work motivated to provide a better newlinesolution for securing healthcare data in cloud computing by incorporating newlineconfidentiality, privacy preservation, and data encryption-decryption method. newline