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<p>Medical Data Analytics for Secure Multi-party-primarily based Cloud Computing utilizing Homomorphic Encryption</p>

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Title Statement <p>Medical Data Analytics for Secure Multi-party-primarily based Cloud Computing utilizing Homomorphic Encryption</p>
 
Added Entry - Uncontrolled Name Sammeta, Naresh ; JNT University Kakinada, Kakinada 533 003, AP, India
Parthiban, Latha ; Dept. of Computer Science, Pondicherry University Community College, Pondicherry 605 014, India
 
Uncontrolled Index Term AHEE, CSP, Decryption time, Encryption time, Homomorphic encryption
 
Summary, etc. <p>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.</p>
 
Publication, Distribution, Etc. Journal of Scientific and Industrial Research (JSIR)
2021-10-06 12:01:33
 
Electronic Location and Access application/pdf
http://op.niscair.res.in/index.php/JSIR/article/view/39401
 
Data Source Entry Journal of Scientific and Industrial Research (JSIR); ##issue.vol## 80, ##issue.no## 08 (2021): Journal of Scientific and Industrial Research
 
Language Note en