A Novel Approach for Enhance Fusion Based Healthcare System In Cloud Computing

 

S. Phani Praveen1, Balamuralikrishna Thati2, Ch Anuradha3, S. Sindhura4, Mohammed Altaee5, M. Abdul jalil6

1Department of CSE , PVP Siddhartha Institute of Technology, Vijayawada, India 

2 Department of CSE. Dhanekula Institute of Engineering & Technology. Ganguru , Vijayawada

3Department of CSE, Koneru Lakshmaiah Educational Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India  

4 Department of CSE, NRI Institute of Technology, Agiripalli, Andhra Pradesh, India

5Department of medical instruments engineering techniques, Alfarahidi University, Baghdad, Iraq

6Department of Computer Engineering techniques, Alturath University college, Baghdad, Iraq 

Emails: sppraveen@pvpsiddhartha.ac.in; balu.thati9@gmail.com; akshayagokul2009@mail.com; ssindhurapraveen@gmail.com; m.altaee@alfarahidiuc.edu.iq; mohammed.jalil@turath.edu.iq

 

Abstract

Individuals start - ups and large corporations in the healthcare sector have new opportunities to outsource data and outsourcing computation offers to cloud computing. Although the cloud computing paradigm presents users with interesting and cost effective opportunities still in its early stage, and using the cloud introduces with new obstacles. A another issue is the security of cloud data, which may be affected the data particularly in the case of healthcare systems that store and process sensitive data and is outsourced to a cloud computing system.Although there has been significant progress in the development of health services there are still issues that need to be settled regarding, integrity, the security, large-scale deployment, service integration, confidentiality of sensitive medical data. To ensure that sensitive medical data is captured, stored and consumed securely, an information sharing policy syntax based on rules, the Data Capture and Auto Identification Reference (DACAR) platform features a Single Point of Contact as well as data buckets that are hosted on a cost-effective cloud infrastructure and scalable.As a result, security, accuracy, and precision are achieved in this analysis and query time is reduced.

 

Keywords: Data Security; Cloud Computing; Dynamic Cloud Computing Architecture; Data Privacy; Auto Identification Reference (DACAR); Data Capture