FOR SECURITY IN THE HEALTHCARE CLOUD, FOG COMPUTING AND DECOY TECHNIQUE

LYNN LAWRENCE; ANU M.V

Important Dates

Submission Last date	28-Jun-2025
Acceptance Status	In One Day
Paper Publish	In Two Days
Submit ManuScript

News for bloggers Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript

Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board

Paper Publication Charges

IJARIIE APP
Download Android App

Download IJARIIE APP

Authors

Title: :  FOR SECURITY IN THE HEALTHCARE CLOUD, FOG COMPUTING AND DECOY TECHNIQUE
PaperId: :  14835
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 7 Issue 4 2021
DUI:    16.0415/IJARIIE-14835
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Name	Author Institute
LYNN LAWRENCE	METS SCHOOL OF ENGINEERING
ANU M.V	METS SCHOOL OF ENGINEERING

Abstract

Research Area	COMPUTER ENGINEERING
KeyWord	Fog Computing, Cloud Computing, Decoy Technique, User Profiling, Key Generator, Blowfish are some of the terms used to describe fog computing and cloud computing
Abstract	Electronic Medical Records (EMR) are used by healthcare practitioners to keep track of a patient's lab results, X-rays, Computed Tomography (CT) scans, ultrasounds, and other medical records. All of this information is stored in the healthcare cloud, which offers services such as patient data management and backup (PHI). Knowledge theft assaults, which are the most serious kind of threats, are a constant threat to the healthcare cloud. As a result, the most important purpose of our technology is to make data theft attacks more difficult for attackers. To do this, we are employing the decoy strategy to obtain phoney PHI data that can be supplied to the user if the user's behaviour is detected as that of the attacker. The key agreement protocol allows authorised users to speak with each other over a secure channel. The original PHI is securely stored by encrypting it with the blowfish technique. To make information transfer smooth and efficient, we use fog computing, which can assist in data security by keeping it at the sting.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE	LYNN LAWRENCE, and ANU M.V. "FOR SECURITY IN THE HEALTHCARE CLOUD, FOG COMPUTING AND DECOY TECHNIQUE" International Journal Of Advance Research And Innovative Ideas In Education Volume 7 Issue 4 2021 Page 35-41
MLA	LYNN LAWRENCE, and ANU M.V. "FOR SECURITY IN THE HEALTHCARE CLOUD, FOG COMPUTING AND DECOY TECHNIQUE." International Journal Of Advance Research And Innovative Ideas In Education 7.4(2021) : 35-41.
APA	LYNN LAWRENCE, & ANU M.V. (2021). FOR SECURITY IN THE HEALTHCARE CLOUD, FOG COMPUTING AND DECOY TECHNIQUE. International Journal Of Advance Research And Innovative Ideas In Education, 7(4), 35-41.
Chicago	LYNN LAWRENCE, and ANU M.V. "FOR SECURITY IN THE HEALTHCARE CLOUD, FOG COMPUTING AND DECOY TECHNIQUE." International Journal Of Advance Research And Innovative Ideas In Education 7, no. 4 (2021) : 35-41.
Oxford	LYNN LAWRENCE, and ANU M.V. 'FOR SECURITY IN THE HEALTHCARE CLOUD, FOG COMPUTING AND DECOY TECHNIQUE', International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 4, 2021, p. 35-41. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/FOR_SECURITY_IN_THE_HEALTHCARE_CLOUD__FOG_COMPUTING_AND_DECOY_TECHNIQUE_ijariie14835.pdf (Accessed : 13 July 2021).
Harvard	LYNN LAWRENCE, and ANU M.V. (2021) 'FOR SECURITY IN THE HEALTHCARE CLOUD, FOG COMPUTING AND DECOY TECHNIQUE', International Journal Of Advance Research And Innovative Ideas In Education, 7(4), pp. 35-41IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/FOR_SECURITY_IN_THE_HEALTHCARE_CLOUD__FOG_COMPUTING_AND_DECOY_TECHNIQUE_ijariie14835.pdf (Accessed : 13 July 2021)
IEEE	LYNN LAWRENCE, and ANU M.V, "FOR SECURITY IN THE HEALTHCARE CLOUD, FOG COMPUTING AND DECOY TECHNIQUE," International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 4, pp. 35-41, Jul-Aug 2021. [Online]. Available: https://ijariie.com/AdminUploadPdf/FOR_SECURITY_IN_THE_HEALTHCARE_CLOUD__FOG_COMPUTING_AND_DECOY_TECHNIQUE_ijariie14835.pdf [Accessed : 13 July 2021].
Turabian	LYNN LAWRENCE, and ANU M.V. "FOR SECURITY IN THE HEALTHCARE CLOUD, FOG COMPUTING AND DECOY TECHNIQUE." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 7 number 4 (13 July 2021).
Vancouver	LYNN LAWRENCE, and ANU M.V. FOR SECURITY IN THE HEALTHCARE CLOUD, FOG COMPUTING AND DECOY TECHNIQUE. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2021 [Cited : 13 July 2021]; 7(4) : 35-41. Available from: https://ijariie.com/AdminUploadPdf/FOR_SECURITY_IN_THE_HEALTHCARE_CLOUD__FOG_COMPUTING_AND_DECOY_TECHNIQUE_ijariie14835.pdf

BibTex

EndNote

RefMan

RefWorks

Number Of Downloads

Last download on 7/13/2021 9:29:56 PM

Save in Google Drive

Similar-Paper

Title

Area of Research

Auther Name

Action

Personalized Fitness Segmentation with Actionable Insights

Machine Learning

Anju Tiwari

Download

Driver Drowsiness Detection System Using OpenCV And IOT

Computer Science And Engineering

Akshay Amrutkar

Download

Stock Sense: Deep Learning based stock-market prediction tool

Computer Science and Engineering (Data Science)

Meet Manoj Agarwal

Download

AN AI POWERED MENTAL HEATH AND WELLNESS COMPAION

Computer Science Engineering

Dr . Archana B

Download

PREDICTING GENETIC VARIANTS PATHOGENECITY

Computer Engineering

Syed Arbeena Kausar

Download

ANDROID MALWARE DETECTION USING MACHINE LEARNING TECHNIQUES