Blockchain based Lebesgue interpolated Gaussian secured information sharing for pharma supply chain

Supervising the product's integrity and procedures in a multi-participant supply chain environment is a noteworthy issue. In recent years blockchain technology (BT) has made an appearance as a paramount model, as it bestows secure tracking, benchmark, and trust formation between stakeholders in...

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Autores principales:	Anitha P, Srimathi C
Formato:	article
Lenguaje:	EN
Publicado:	KeAi Communications Co., Ltd. 2021
Materias:	Supply chain management Blockchain technology Machine learning Adaptive support vector machine Authentication Electronic computers. Computer science QA75.5-76.95
Acceso en línea:	https://doaj.org/article/cd4d6f79abfe40759b054a79e3d8bfca
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spelling	oai:doaj.org-article:cd4d6f79abfe40759b054a79e3d8bfca2021-12-02T05:03:59ZBlockchain based Lebesgue interpolated Gaussian secured information sharing for pharma supply chain2666-603010.1016/j.ijin.2021.11.002https://doaj.org/article/cd4d6f79abfe40759b054a79e3d8bfca2021-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2666603021000269https://doaj.org/toc/2666-6030Supervising the product's integrity and procedures in a multi-participant supply chain environment is a noteworthy issue. In recent years blockchain technology (BT) has made an appearance as a paramount model, as it bestows secure tracking, benchmark, and trust formation between stakeholders in a cost-efficient solution. To control the foregoing concerns, data analytics is indispensable on blockchain-based secure data and hence elevates the significance of surfacing technology Machine Learning (ML). The reliability of data and its distribution are very pivotal in ML to enhance the accuracy of results. In this paper, a blockchain-based secured information sharing method called Lebesgue IntegrableConsensus and Interpolated Gaussian Learning-based (LIC-IGL) authentication to provide pharmaceutical data integrity and security is proposed. The LIC-IGL method is split into two sections. First, validation of block is performed by applying the Lebesgue Integrable Consensus model. The second step involves the authentication process carried out by employing the Adaptive Support Vector Machine Authentication model via smart contracts. Finally, upon successful authentication, distinct products are provided between and within the blocks, therefore, ensuring secured pharmaceutical product sharing. The effectiveness of the proposed and existing methods is compared with certain parameters such as latency, authentication accuracy, and false positive rate with respect to distinct numbers of products. The results acquired from the experiments exhibit a superior execution of the proposed method upon comparison with the state-of-the-art blockchain-based authentication methods and it shows enhanced simulated results with good authentication accuracy, minimizing the latency and false positive rate.Anitha PSrimathi CKeAi Communications Co., Ltd.articleSupply chain managementBlockchain technologyMachine learningAdaptive support vector machineAuthenticationElectronic computers. Computer scienceQA75.5-76.95ENInternational Journal of Intelligent Networks, Vol 2, Iss , Pp 204-213 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Supply chain management Blockchain technology Machine learning Adaptive support vector machine Authentication Electronic computers. Computer science QA75.5-76.95
spellingShingle	Supply chain management Blockchain technology Machine learning Adaptive support vector machine Authentication Electronic computers. Computer science QA75.5-76.95 Anitha P Srimathi C Blockchain based Lebesgue interpolated Gaussian secured information sharing for pharma supply chain
description	Supervising the product's integrity and procedures in a multi-participant supply chain environment is a noteworthy issue. In recent years blockchain technology (BT) has made an appearance as a paramount model, as it bestows secure tracking, benchmark, and trust formation between stakeholders in a cost-efficient solution. To control the foregoing concerns, data analytics is indispensable on blockchain-based secure data and hence elevates the significance of surfacing technology Machine Learning (ML). The reliability of data and its distribution are very pivotal in ML to enhance the accuracy of results. In this paper, a blockchain-based secured information sharing method called Lebesgue IntegrableConsensus and Interpolated Gaussian Learning-based (LIC-IGL) authentication to provide pharmaceutical data integrity and security is proposed. The LIC-IGL method is split into two sections. First, validation of block is performed by applying the Lebesgue Integrable Consensus model. The second step involves the authentication process carried out by employing the Adaptive Support Vector Machine Authentication model via smart contracts. Finally, upon successful authentication, distinct products are provided between and within the blocks, therefore, ensuring secured pharmaceutical product sharing. The effectiveness of the proposed and existing methods is compared with certain parameters such as latency, authentication accuracy, and false positive rate with respect to distinct numbers of products. The results acquired from the experiments exhibit a superior execution of the proposed method upon comparison with the state-of-the-art blockchain-based authentication methods and it shows enhanced simulated results with good authentication accuracy, minimizing the latency and false positive rate.
format	article
author	Anitha P Srimathi C
author_facet	Anitha P Srimathi C
author_sort	Anitha P
title	Blockchain based Lebesgue interpolated Gaussian secured information sharing for pharma supply chain
title_short	Blockchain based Lebesgue interpolated Gaussian secured information sharing for pharma supply chain
title_full	Blockchain based Lebesgue interpolated Gaussian secured information sharing for pharma supply chain
title_fullStr	Blockchain based Lebesgue interpolated Gaussian secured information sharing for pharma supply chain
title_full_unstemmed	Blockchain based Lebesgue interpolated Gaussian secured information sharing for pharma supply chain
title_sort	blockchain based lebesgue interpolated gaussian secured information sharing for pharma supply chain
publisher	KeAi Communications Co., Ltd.
publishDate	2021
url	https://doaj.org/article/cd4d6f79abfe40759b054a79e3d8bfca
work_keys_str_mv	AT anithap blockchainbasedlebesgueinterpolatedgaussiansecuredinformationsharingforpharmasupplychain AT srimathic blockchainbasedlebesgueinterpolatedgaussiansecuredinformationsharingforpharmasupplychain
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Blockchain based Lebesgue interpolated Gaussian secured information sharing for pharma supply chain

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