An efficient integrity based multi-user blockchain framework for heterogeneous supply chain management applications

Q2 Computer Science

International Journal of Computers and Applications Pub Date : 2023-04-03 DOI:10.1080/1206212X.2023.2199966

Mani Deep Karumanchi, J. I. Sheeba, S. Devaneyan

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引用次数: 1

Abstract

Most of the traditional cloud-based applications are insecure and difficult to compute the data integrity with variable hash size on heterogeneous supply chain datasets. Also, cloud storage systems are independent of integrity computational and data security due to structured data and computational memory. As the size of the cloud data files is increasing in the public and private cloud servers, it is difficult to provide strong data security due to file format and high dimensionality. The computational time and storage space of the conventional attribute-based encryption and decryption models are high during the data integrity verification in the traditional blockchain frameworks. This paper implements a hybrid variable size data integrity algorithm on the heterogeneous cloud supply chain data files for the strong data encryption and decryption process. This work implements an optimized blockchain framework using the advanced heterogeneous integrity computation approach and integrity policy-based attribute encryption and decryption approach for better cloud data security. Experimental results proved that the proposed integrity-based encryption model has better efficiency than the traditional integrity-based encryption frameworks on cloud heterogeneous data types.

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一种高效的基于完整性的多用户区块链框架，用于异构供应链管理应用

传统的基于云的应用程序大多不安全，难以在异构供应链数据集上计算变量哈希大小的数据完整性。此外，由于结构化数据和计算内存，云存储系统独立于完整性计算和数据安全。随着云数据文件在公有云和私有云服务器上的规模越来越大，由于文件格式和高维，难以提供强大的数据安全性。在传统的区块链框架中，传统的基于属性的加解密模型在数据完整性验证过程中计算时间和存储空间都很高。本文在异构云供应链数据文件上实现了一种混合变大小数据完整性算法，用于强数据加解密过程。本工作使用先进的异构完整性计算方法和基于完整性策略的属性加解密方法实现了优化的区块链框架，以提高云数据的安全性。实验结果表明，在云异构数据类型上，本文提出的基于完整性的加密模型比传统的基于完整性的加密框架具有更高的效率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Computers and Applications Computer Science-Computer Graphics and Computer-Aided Design

CiteScore

4.70

自引率

0.00%

发文量

期刊介绍： The International Journal of Computers and Applications (IJCA) is a unique platform for publishing novel ideas, research outcomes and fundamental advances in all aspects of Computer Science, Computer Engineering, and Computer Applications. This is a peer-reviewed international journal with a vision to provide the academic and industrial community a platform for presenting original research ideas and applications. IJCA welcomes four special types of papers in addition to the regular research papers within its scope: (a) Papers for which all results could be easily reproducible. For such papers, the authors will be asked to upload "instructions for reproduction'''', possibly with the source codes or stable URLs (from where the codes could be downloaded). (b) Papers with negative results. For such papers, the experimental setting and negative results must be presented in detail. Also, why the negative results are important for the research community must be explained clearly. The rationale behind this kind of paper is that this would help researchers choose the correct approaches to solve problems and avoid the (already worked out) failed approaches. (c) Detailed report, case study and literature review articles about innovative software / hardware, new technology, high impact computer applications and future development with sufficient background and subject coverage. (d) Special issue papers focussing on a particular theme with significant importance or papers selected from a relevant conference with sufficient improvement and new material to differentiate from the papers published in a conference proceedings.