Title: Enriched cloud computing data security through a triple level encryption model for healthcare systems

Authors: HariPriya Kanagaraj; Brintha Nalsingh Christo

Addresses: Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Krishnankovil, Tamil Nadu, India ' Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Krishnankovil, Tamil Nadu, India

Abstract: Cloud computing (CC) stores and accesses data over the internet, posing security risks from within the cloud service provider (CSP) or outsiders, especially in medical systems. Cryptography is crucial for security, but performance must not be compromised. This research proposes enhancing security with minimal performance impact by refining Blowfish cipher and using an elliptic curve-based algorithm for key coding. Serpent encryption divides data into blocks and combines them for triple-level encryption. Hash functions reduce processing time, even with multiple users accessing the same document. The approach aims to bolster confidentiality in medical cloud data while ensuring data integrity with digital signatures. Software evaluation shows improvements in throughput, execution time, and memory consumption.

Keywords: cloud computing; CC; medical data; triple-level encryption; hash function; patient privacy; and security.

DOI: 10.1504/IJCC.2024.143540

International Journal of Cloud Computing, 2024 Vol.13 No.6, pp.566 - 580

Received: 28 Aug 2023
Accepted: 22 Jan 2024
Published online: 30 Dec 2024 *

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