Lee, E, Yoon, Y, Lee, GM and Um, TW (2020) Blockchain-based Perfect Sharing Project Platform based on the Proof of Atomicity Consensus Algorithm. Tehnicki Vjesnik, 27 (4). pp. 1244-1253. ISSN 1330-3651

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Abstract

The Korean government funded 12.8 billion USD to 652 research and development (R&D) projects supported by 20 ministries in 2019. Every year, various organizations are supported to conduct R&D projects focusing on selected core technologies by evaluating emerging technologies which industries are planning to develop. To manage the whole cycle of national R&D projects, information sharing on national R&D projects is very essential. The blockchain technology is considered as a core solution to share information reliably and prevent forgery in various fields. For efficient management of national R&D projects, we enhance and analyse the Perfect Sharing Project (PSP)-Platform based on a new blockchain-based platform for information sharing and forgery prevention. It is a shared platform for national ICT R&D projects management with excellent performance in preventing counterfeiting. As a consensus algorithm is very important to prevent forgery in blockchain, we survey not only architectural aspects and examples of the platform but also the consensus algorithms. Considering characteristics of the PSP-Platform, we adopt an atomic proof (POA) consensus algorithm as a new consensus algorithm in this paper. To prove the validity of the POA consensus algorithm, we have conducted experiments. The experiment results show the outstanding performance of the POA consensus algorithm used in the PSP-Platform in terms of block generation delay and block propagation time.

Item Type:	Article
Uncontrolled Keywords:	distributed system; Perfect Sharing Project (PSP)-Platform; information sharing; consensus algorithm
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Computer Science & Mathematics
Publisher:	Hrčak
Date Deposited:	27 May 2020 10:10
Last Modified:	18 Aug 2022 11:00
DOI or ID number:	10.17559/TV-20200218052217
URI:	https://researchonline.ljmu.ac.uk/id/eprint/13015

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