组织间工作流中基于区块链的受控信息共享

Christian Rondanini, B. Carminati, Federico Daidone, E. Ferrari
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引用次数: 9

摘要

如今,为了应对市场的需求,组织需要设定越来越高的商业目标。事实上,组织的广泛战略是加入组织间过程,这在相关组织之间设置协作和资源共享。然而,各组织之间可能缺乏信任,对敏感资源的处理构成了相关问题。解决这个问题的一个有希望的方法是利用区块链技术。由于其设计和共识算法,区块链提供了一个值得信赖的基础设施,允许参与协作的合作伙伴对工作流程转换进行监控和审计。总的来说,现有的基于区块链的工作流管理解决方案的重点主要是工作流协调。然而,一些工作流的一个具有挑战性的特点是,它们需要交换大量的数据,这些数据必须在链下管理,也就是说,直接在数据生产者和消费者之间交换。这种链下数据共享应该受到保护和控制,以便遵循工作流执行。为了应对这一挑战,在本文中,我们提出了一种通过智能合约强制执行的组织间工作流中的受控信息共享。智能合约旨在协调工作流的执行,以及部署一组授权,仅向任务执行器授予访问权限,仅向任务执行所需的资源授予访问权限,并且仅在任务激活期间授予访问权限。我们还进行了一系列实验来证明我们方法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Blockchain-based controlled information sharing in inter-organizational workflows
Nowadays, organizations need to set higher and higher business goals in order to cope with market requirements. Indeed, a widespread strategy for organizations is to join in inter-organizational processes, which set collaborations and resource sharing among involved organizations. However, the possible lack of trust among the organizations poses relevant issues on the processing of sensitive resources. A promising approach to cope with this issue is leveraging on blockchain technology. Thanks to its design and consensus algorithm, blockchain provides a trustworthy infrastructure that allows partners involved in the collaboration to monitor and perform audits on the workflow transitions. In general, the focus of the existing blockchain-based workflow management solutions is mainly workflow coordination. However, a challenging characteristic of some workflows is that they require the exchange of a big amount of data that has to be managed off-chain, that is, directly exchanged between data producer and consumer. This off-chain data sharing should be secured and controlled such to follow the workflow execution.To cope with this challenge, in this paper, we propose a controlled information sharing in inter-organizational workflows enforced via smart contracts. Smart contracts are designed to coordinate the workflow execution, as well as to deploy a set of authorizations granting access only to the task executor and only to those resources needed for task execution and only during the task activation. We have also run a set of experiments to show the feasibility of our approach.
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