Visible to the public Trustworthiness Optimization of Industrial Cluster Network Platform Based on Blockchain

TitleTrustworthiness Optimization of Industrial Cluster Network Platform Based on Blockchain
Publication TypeConference Paper
Year of Publication2018
AuthorsLi, Z., Xie, X., Ma, X., Guan, Z.
Conference Name2018 8th International Conference on Logistics, Informatics and Service Sciences (LISS)
Date Publishedaug
KeywordsAnalytical models, Application Layer, blockchain, Collaboration, composability, data layer, Distributed databases, Economics, industrial cluster, industrial cluster network platform, Industries, information service platform, Information services, information trustworthiness, network platform, optimisation, Optimization, pubcrawl, security of data, small and medium-sized enterprises, small-to-medium enterprises, smart contracts, Trusted Computing, trustworthiness, trustworthiness optimization
Abstract

Industrial cluster is an important organization form and carrier of development of small and medium-sized enterprises, and information service platform is an important facility of industrial cluster. Improving the credibility of the network platform is conducive to eliminate the adverse effects of distrust and information asymmetry on industrial clusters. The decentralization, transparency, openness, and intangibility of block chain technology make it an inevitable choice for trustworthiness optimization of industrial cluster network platform. This paper first studied on trusted standard of industry cluster network platform and construct a new trusted framework of industry cluster network platform. Then the paper focus on trustworthiness optimization of data layer and application layer of the platform. The purpose of this paper is to build an industrial cluster network platform with data access, information trustworthiness, function availability, high-speed and low consumption, and promote the sustainable and efficient development of industrial cluster.

URLhttps://ieeexplore.ieee.org/document/8593232
DOI10.1109/LISS.2018.8593232
Citation Keyli_trustworthiness_2018