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

July 2021
Vol-7, Issue-4
Paper ID: 14835
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
COMPUTER ENGINEERING
Keywords
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.

Author Information

# Name Institute / Affiliation
1 LYNN LAWRENCE METS SCHOOL OF ENGINEERING
2 ANU M.V METS SCHOOL OF ENGINEERING

How to Cite

Use the following formats to cite this article in your research.

APA Style
LAWRENCE, LYNN & M.V, ANU (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.
MLA Style
LAWRENCE, LYNN, 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, pp. 35-41.
IEEE Style
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, 2021.
Vancouver Style
LAWRENCE LYNN, M.V ANU. FOR SECURITY IN THE HEALTHCARE CLOUD, FOG COMPUTING AND DECOY TECHNIQUE. International Journal of Advance Research and Innovative Ideas In Education. 2021;7(4):35-41.
Harvard Style
LAWRENCE, LYNN & M.V, ANU (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. 35-41.
Chicago Style
LAWRENCE, LYNN 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.
Turabian Style
LAWRENCE, LYNN 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.

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