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Medical Data Analytics for Secure Multi-party-primarily based Cloud Computing utilizing Homomorphic Encryption

NOPR - NISCAIR Online Periodicals Repository

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Field Value
 
Title Medical Data Analytics for Secure Multi-party-primarily based Cloud Computing utilizing Homomorphic Encryption
 
Creator Sammeta, Naresh
Parthiban, Latha
 
Subject AHEE
CSP
Decryption time
Encryption time
Homomorphic encryption
 
Description 692-698
Cloud computing has emerged as a vibrant part of today's modern world, providing computer services such as data
storage, managing and processing via the internet. For the most part, cloud applications emphasize a multi-tenant structure
to provide support for several customers in a single instance. A multi-tenancy situation involving the allocation of resources
in cloud storage and the risks associated with it, in which confidentiality or integrity may be compromised. Homomorphic
encryption is one such technique which guarantees to franchise in safeguarding information under cryptographic domain.
The proposed modified Algebra Homomorphic Encryption scheme based on updated ElGamal (AHEE) encryption scheme
is designed in such a way that the cloud administrators do not obtain any information about the medical data. This scheme is
quantitatively evaluated using metrics such as encryption time and decryption time. The experimental results using UCI
Machine Learning Repository ECG data set show that the proposed scheme achieved shorter encryption time of 6.61 ms and
decryption time of 5.94 ms and also analyze this secured datum using big data analytics.
 
Date 2021-09-01T11:10:44Z
2021-09-01T11:10:44Z
2021-08
 
Type Article
 
Identifier 0975-1084 (Online); 0022-4456 (Print)
http://nopr.niscair.res.in/handle/123456789/57983
 
Language en
 
Publisher NIScPR-CSIR, India
 
Source JSIR Vol.80(08) [August 2021]