research-article
Authors: Selvakumar Shanmugam, Rajesh Natarajan, Gururaj H. L., Francesco Flammini, + 3, Badria Sulaiman Alfurhood, Anitha Premkumar Academic Editor: Wanli Wen (Less)
IET Information Security, Volume 2024
Published: 31 July 2024 Publication History
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Abstract
Cloud computing (CC) is a network-based concept where users access data at a specific time and place. The CC comprises servers, storage, databases, networking, software, analytics, and intelligence. Cloud security is the cybersecurity authority dedicated to securing cloud computing systems. It includes keeping data private and safe across online-based infrastructure, applications, and platforms. Securing these systems involves the efforts of cloud providers and the clients that use them, whether an individual, small-to-medium business, or enterprise uses. Security is essential for protecting data and cloud resources from malicious activity. A cloud service provider is utilized to provide secure data storage services. Data integrity is a critical issue in cloud computing. However, using data storage services securely and ensuring data integrity in these cloud servers remain an issue for cloud users. We introduce a unique piecewise regressive Kupyna cryptographic hash blockchain (PRKCHB) technique to secure cloud services with higher data integrity to solve these issues. The proposed PRKCHB method involves user registration, cryptographic hash blockchain, and regression analysis. Initially, the registration process for each cloud user is performed. After registering user particulars, Davies–Meyer Kupyna’s cryptographic hash blockchain generates the hash value of data in each block. When a user requests data from the server, a piecewise regression function is used to validate their identity. Furthermore, the Gaussian kernel function recognizes authorized or unauthorized users for secure cloud information transmission. The regression function results in original data by enhanced integrity in the cloud. An analysis of the proposed PRKCHB technique evaluates different existing methods implemented in Python. The results contain different metrics: data confidentiality rate, data integrity rate, authentication time, storage overhead, and execution time. Compared to conventional techniques, findings corroborate the assertion that the proposed PRKCHB technique improves data confidentiality and integrity by up to 9% and 9% while lowering storage overhead, authentication time, and execution time by 10%, 12%, and 12%.
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Index Terms
Blockchain-Based Piecewise Regressive Kupyna Cryptography for Secure Cloud Services
Computer systems organization
Architectures
Distributed architectures
Cloud computing
Security and privacy
Cryptography
Key management
Symmetric cryptography and hash functions
Network security
Security protocols
Security services
Access control
Privacy-preserving protocols
Systems security
Distributed systems security
Index terms have been assigned to the content through auto-classification.
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Published In
IET Information Security Volume 2024, Issue
2024
536 pages
EISSN:1751-8717
Issue’s Table of Contents
Copyright © 2024 Selvakumar Shanmugam et al.
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Publisher
John Wiley & Sons, Inc.
United States
Publication History
Published: 31 July 2024
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