A Blockchain-based Contactless Delivery System for COVID-19 and Other Pandemics
Type of DegreeMaster's Thesis
Electrical and Computer Engineering
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Our regular lives have been incredibly changed by the coronavirus (COVID-19) widespread. Inaccessible work and self-quarantine have constrained individuals all over the world to ad- just. Numerous service providers, counting retail stores and restaurants, have had to alter their logistics plans. Whereas lessening and regulating human interaction aids in control- ling and avoiding the infection, it includes a signi cant e ect on numerous trade spaces, particularly those with physical stores. Contactless delivery has been proposed as a means of avoiding the spread of the coronavirus. Contactless delivery permits customers to get merchandise whereas holding crucial social distancing. It empowers individuals to have their regular necessities, such as essential supplies and drugs, delivered to their doorstep. Contact- less delivery, on the other hand, diminishes direct contact between the delivery personnel and the customers. The items have vulnerable contacts with logistics personnel and other obscure third parties in expansion to peer-to-peer organizing. The supply chain routes stay an issue indeed, even though the items are conveyed without physical contact. As a result, there is an urgent requirement for creating a contactless delivery framework where the location traces of delivery personnel can track anonymously. In this paper, we show a novel blockchain-based framework for enabling order traceability over the supply chain. Our proposed system viably contributes to COVID-19 avoidance and control by recording and checking traces of delivery and the medical status of delivery personnel in a privacy-preserving way. As a test-bed, we created a Hyperledger Fabric-based blockchain model system. Various smart contract features are added and tested to show the e ectiveness of the proposed scheme. Following its implementation and evaluation, we conduct thorough security and privacy analysis of this framework.