支持合作竞争环境下的商业机密性：基于区块链的供应链中的 B-CONFIDENT 方法

IF 10.4 1区计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Industrial Information Integration Pub Date : 2024-11-01 DOI:10.1016/j.jii.2024.100730

Simone Agostinelli , Ala Arman , Francesca De Luzi, Flavia Monti , Michele Manglaviti, Massimo Mecella

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引用次数: 0

摘要

合作竞争供应链中的一个重要问题是在合作伙伴之间共享敏感信息时确保商业机密。在基于区块链的供应链中，由于固有的透明度，这一挑战变得更加复杂，与企业保护敏感信息的需求相冲突，并对专有数据构成风险。在本文中，我们提出了一种基于许可区块链的方法，以支持供应链中的交易业务保密性。该方法以开源平台的形式实施，并根据五个非功能性要求进行了评估。

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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Supporting business confidentiality in coopetitive scenarios: The B-CONFIDENT approach in blockchain-based supply chains

An important issue in coopetitive supply chains is ensuring business confidentiality when sharing sensitive information among partner actors. This challenge becomes even more complex in blockchain-based supply chains due to inherent transparency, conflicting with businesses’ need to safeguard sensitive information and posing risks to proprietary data. In this paper, we propose an approach based on permissioned blockchains to support transactional business confidentiality in supply chains. The approach is implemented as an open-source platform and evaluated against five non-functional requirements.

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来源期刊

Journal of Industrial Information Integration Decision Sciences-Information Systems and Management

CiteScore

22.30

自引率

13.40%

发文量

100

期刊介绍： The Journal of Industrial Information Integration focuses on the industry's transition towards industrial integration and informatization, covering not only hardware and software but also information integration. It serves as a platform for promoting advances in industrial information integration, addressing challenges, issues, and solutions in an interdisciplinary forum for researchers, practitioners, and policy makers. The Journal of Industrial Information Integration welcomes papers on foundational, technical, and practical aspects of industrial information integration, emphasizing the complex and cross-disciplinary topics that arise in industrial integration. Techniques from mathematical science, computer science, computer engineering, electrical and electronic engineering, manufacturing engineering, and engineering management are crucial in this context.