Evaluation of EHR Attribute-Based Access Control (ABAC) in Fog Computing

Authors(2) :-K. JayaKrishna, K. Naresh

Cisco as of late proposed another computing condition called fog registering to help inactivity touchy and constant applications. It is an association of billions of gadgets closest to the system edge. This registering will be proper for Electronic Medical Record (EMR) frameworks that are inertness touchy in nature. In this paper, we mean to accomplish two objectives:

(1) Managing and sharing Electronic Health Records (EHRs) between numerous fognodes and cloud

(2) Focusing on security of EHR, which contains exceedingly private data. In this way, we will secure access into EHR on Fog computing without affecting the performance of fognodes.

We will cook distinctive clients in light of their properties and therefore giving Attribute Based Access Control ABAC into the EHR in fog to anticipate unapproved get to. We center around decreasing the putting away and forms in fognodes to help low capacities of capacity and processing of fognodes and enhance its performance

Authors and Affiliations

K. JayaKrishna
Associate Professor, Department of MCA, Qiscollge of engineering & Technology, Ongole, Andra Pradesh, India
K. Naresh
Student Department of MCA, Qiscollge of engineering & Technology, Ongole, Andra Pradesh, India

Fog computing, Electronic Medical Record (EMR), Electronic Health Record (EHR)

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Publication Details

Published in : Volume 3 | Issue 4 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 961-967
Manuscript Number : CSEIT1833363
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

K. JayaKrishna, K. Naresh, "Evaluation of EHR Attribute-Based Access Control (ABAC) in Fog Computing", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 4, pp.961-967, March-April-2018.
Journal URL : http://ijsrcseit.com/CSEIT1833363

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