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Home / programming language / Online Java Projects / Hybrid Cryptographic Access Control for Cloud-Based EHR Systems
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Hybrid Cryptographic Access Control for Cloud-Based EHR Systems

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SKU: PROJ7375 Categories: 2017 Projects, Cloud Computing Projects, Online Java Projects, Wireless Sensor Networking Tags: Android Project, Asp.Net Project, C# Project, Computer Engineering Final Year Projects, Computer Science Final Year Projects, Electronics Projects Engineering Students Final Year, Engineering Student Project Ideas, Final Semester Projects, Final Year Project Center, Final Year Projects, ieee ECE Projects, ieee EEE Projects, ieee Final Year Projects, IEEE Projects, ieee Projects Networking, Image Processing Projects, J2EE Project, Java Project, Java Project Code, Matlab Project, PHP Project, Students Projects
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Hybrid Cryptographic Access Control for Cloud-
Based EHR Systems

Abstract— Hybrid Cryptographic Access Control for Cloud-Based EHR Systems Uthpala Premarathne, Alsharif Abuadbba, and Abdulatif Alabdulatif, RMIT University Ibrahim Khalil, National ICT Australia
Zahir Tari, RMIT University Albert Zomaya, University of Sydney Rajkumar Buyya, University of Melbourne
A cryptographic role-based access control model for electronic health record (EHR) systems uses location- and biometrics-based user authentication and a steganography-based technique to embed EHR data in electrocardiography (ECG) host signals. lectronic health record (EHR) sys-tems offer more effi cient means of delivering quality-ensured healthcare services and promoting collaborative clinical research. EHRs consist of data pertaining to “all aspects of care” (such as genomic test results, diagnoses, medication, laboratory test results, and imaging data). According to the Australian Bureau of Statistics (www.abs.gov.au), Australia’s population is more than 23 million;
if the average EHR data fi le is 1 gigabyte, total EHR data for the country is at petabyte scale. IBM defi nes
big data as any situation or event that generates data with any or all of these three properties: volume, va-riety, and velocity. 1 Thus, it’s evident that we have a signifi cant “big EHR data” management problem in terms of volume, veracity, and velocity.< final year projects >

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