An Efficient Threshold Cryptography Scheme for Cloud ERP Data

IF 0.5 4区计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

International Journal of Cooperative Information Systems Pub Date : 2020-03-31 DOI:10.5121/ijcis.2020.10101

Arnold Mashud Abukari, E. K. Bankas, Mohammed Iddrisu Muniru

引用次数: 0

Abstract

Cloud ERP is a new concept that has caught the attention of researchers and industry players. One of the major challenges towards migrating ERP data to cloud is security and confidentiality. A number of secret sharing schemes (SSS) have been proposed Mignote, Asmuth-Bloom, Shamir and Blakley but not without challenges. In this research we proposed an efficient threshold cryptography scheme to secure cloud ERP data. We modified the Asmuth-Bloom SSS and applied it to cloud ERP data.

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一种有效的云ERP数据阈值加密方案

云ERP是一个新概念，已经引起了研究人员和行业参与者的注意。将ERP数据迁移到云端的主要挑战之一是安全性和保密性。Mignote、Asmuth-Bloom、Shamir和Blakley提出了许多秘密共享方案(SSS)，但并非没有挑战。在本研究中，我们提出了一种有效的阈值加密方案来保护云ERP数据。我们修改了Asmuth-Bloom SSS，并将其应用于云ERP数据。

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 Cooperative Information Systems 工程技术-计算机：信息系统

CiteScore

2.30

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： The paradigm for the next generation of information systems (ISs) will involve large numbers of ISs distributed over large, complex computer/communication networks. Such ISs will manage or have access to large amounts of information and computing services and will interoperate as required. These support individual or collaborative human work. Communication among component systems will be done using protocols that range from conventional ones to those based on distributed AI. We call such next generation ISs Cooperative Information Systems (CIS). The International Journal of Cooperative Information Systems (IJCIS) addresses the intricacies of cooperative work in the framework of distributed interoperable information systems. It provides a forum for the presentation and dissemination of research covering all aspects of CIS design, requirements, functionality, implementation, deployment, and evolution.