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dc.contributor.authorZoughalian, K
dc.contributor.authorMarchang, J
dc.contributor.authorGhita, B
dc.date.accessioned2022-04-22T12:13:50Z
dc.date.issued2022-03-30
dc.identifier.issn1660-4601
dc.identifier.issn1660-4601
dc.identifier.other4091
dc.identifier.urihttp://hdl.handle.net/10026.1/19049
dc.description.abstract

<jats:p>Counterfeiting drugs has been a global concern for years. Considering the lack of transparency within the current pharmaceutical distribution system, research has shown that blockchain technology is a promising solution for an improved supply chain system. This study aims to explore the current solution proposals for distribution systems using blockchain technology. Based on a literature review on currently proposed solutions, it is identified that the secrecy of the data within the system and nodes’ reputation in decision making has not been considered. The proposed prototype uses a zero-knowledge proof protocol to ensure the integrity of the distributed data. It uses the Markov model to track each node’s ‘reputation score’ based on their interactions to predict the reliability of the nodes in consensus decision making. Analysis of the prototype demonstrates a reliable method in decision making, which concludes with overall improvements in the system’s confidentiality, integrity, and availability. The result indicates that the decision protocol must be significantly considered in a reliable distribution system. It is recommended that the pharmaceutical distribution systems adopt a relevant protocol to design their blockchain solution. Continuous research is required further to increase performance and reliability within blockchain distribution systems.</jats:p>

dc.format.extent4091-4091
dc.format.mediumElectronic
dc.languageen
dc.language.isoeng
dc.publisherMDPI
dc.subjectblockchain technologies
dc.subjectpharmaceutical distribution system
dc.subjectzero-knowledge proof
dc.subjectMarkov model
dc.titleA Blockchain Secured Pharmaceutical Distribution System to Fight Counterfeiting
dc.typejournal-article
dc.typeJournal Article
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000781663200001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.issue7
plymouth.volume19
plymouth.publication-statusPublished online
plymouth.journalInternational Journal of Environmental Research and Public Health
dc.identifier.doi10.3390/ijerph19074091
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA11 Computer Science and Informatics
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dc.publisher.placeSwitzerland
dcterms.dateAccepted2022-03-26
dc.rights.embargodate2022-4-23
dc.identifier.eissn1660-4601
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.3390/ijerph19074091
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2022-03-30
rioxxterms.typeJournal Article/Review


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