一种基于区块链的非接触式交付系统,用于应对COVID-19和其他流行病

Pratiksha Mittal, Austin C. Walthall, Pinchen Cui, A. Skjellum, Ujjwal Guin
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引用次数: 2

摘要

新冠肺炎疫情严重影响和改变了我们的日常生活。在世界范围内,人们不得不通过远程工作和自我隔离来适应。这种情况要求各种服务提供商(如零售商店和餐馆)的各种物流服务转变战略。非接触递送的概念已经出现,以帮助防止冠状病毒的传播。然而,非接触式配送只会减少配送人员与客户之间的直接互动。除了点对点的接触,物品还会在递送人员和其他未知的第三方之间进行不安全的交互。即使这些物品是在没有实体接触的情况下交付的,人们仍然担心它们在供应链中的路线。在本文中,我们提出了一种新的基于区块链的框架,以实现供应链中产品的可追溯性。该框架以保密的方式记录和跟踪配送痕迹和配送人员的医疗状况,最终为COVID-19防控做出贡献。我们构建了一个基于Hyperledger fabric的区块链原型系统作为我们的测试平台。实现并评估了几个智能合约功能,以显示所提出框架的效率。在实施和评估的同时,我们还对该框架进行了全面的安全和隐私分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Blockchain-based Contactless Delivery System for Addressing COVID-19 and Other Pandemics
The coronavirus (COVID-19) pandemic has significantly impacted and changed our daily routines. Worldwide, people have had to adapt by undergoing remote work and self-quarantine. This situation has required transforming strategies for various logistics services for a variety of service providers, such as retail stores and restaurants. The concept of contactless delivery has emerged to help prevent the spread of the coronavirus. However, contactless delivery only reduces the direct interaction between the delivery personnel and the customer. In addition to peer-to-peer contact, items still go through insecure interactions between and among the delivery personnel and other unknown third parties. Even if the items are delivered without physical contact, concerns remain about their routes in the supply chain. In this paper, we present a novel blockchain-based framework to enable the traceability of products in the supply chain. This framework records and tracks delivery traces and the medical status of delivery personnel in a privacy-preserved manner, ultimately contributing to COVID-19 prevention and control. We build a Hyperledger Fabric-based blockchain prototype system as our testbed. Several smart contract functions are implemented and evaluated to show the efficiency of the proposed framework. In conjunction with the implementation and evaluation, we also perform comprehensive security and privacy analyses of this framework.
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