A Systematic Review of Security Mechanisms for Big Data in Health and New Alternatives for Hospitals. (4th December 2017)

• Record Type: Journal Article
• Authors: Hamrioui, Sofiane; de la Torre Díez, Isabel; Garcia-Zapirain, Begonya; Saleem, Kashif; Rodrigues, Joel J. P. C.
• Other Names: Zhang Yin Academic Editor.
• Is Part Of: Wireless communications and mobile computing. Volume 2017(2017)
• Publication Date: 2017-12-04
• Subjects: Wireless communication systems -- Periodicals; Mobile communication systems -- Periodicals; 621.38205
• DOI: 10.1155/2017/2306458
• Languages: English
• ISSNs: 1530-8669

Abstract

Abstract : Computer security is something that brings to mind the greatest developers and companies who wish to protect their data. Major steps forward are being taken via advances made in the security of technology. The main purpose of this paper is to provide a view of different mechanisms and algorithms used to ensure big data security and to theoretically put forward an improvement in the health-based environment using a proposed model as reference. A search was conducted for information from scientific databases as Google Scholar, IEEE Xplore, Science Direct, Web of Science, and Scopus to find information related to security in big data. The search criteria used were "big data", "health", "cloud", and "security", with dates being confined to the period from 2008 to the present time. After analyzing the different solutions, two security alternatives are proposed combining different techniques analyzed in the state of the art, with a view to providing existing information on the big data over cloud with maximum security in different hospitals located in the province of Valladolid, Spain. New mechanisms and algorithms help to create a more secure environment, although it is necessary to continue developing new and better ones to make things increasingly difficult for cybercriminals.