Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Byzantine Fault Tolerance Based Multi-Block Consensus Algorithm for Throughput Scalability

Full metadata record
DC Field Value Language
dc.contributor.author조성현-
dc.contributor.authorKim, Soohyeong-
dc.contributor.authorLee, Sejong-
dc.contributor.authorJeong, Chiyoung-
dc.date.accessioned2021-06-22T09:08:22Z-
dc.date.available2021-06-22T09:08:22Z-
dc.date.issued2020-01-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/1341-
dc.description.abstractBlockchain is a distributed, reliable, and secure ledger that maintains data by consensus among network participants. The consensus algorithms provide data reliability but increase the data processing time. In this paper, we propose the multi-block consensus algorithm based on Byzantine Fault Tolerance to enhance throughput. The key point of the proposed algorithm is that the primary propagates the disjoint-transaction sets to other replicas. After receiving the propagated blocks, the replicas verify the propagation part and the content part of the blocks. As sharing the verifying result, the replicas could add the valid blocks to the blockchain at a time. We evaluate the performance of the proposed algorithm comparing to the Practical Byzantine Fault Tolerance algorithm which is the most ordinary Byzantine Fault Tolerance based algorithm. By the simulation results, throughput increases as the number of users increases.-
dc.format.extent3-
dc.language영어-
dc.language.isoENG-
dc.publisherIEEE-
dc.titleByzantine Fault Tolerance Based Multi-Block Consensus Algorithm for Throughput Scalability-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1109/ICEIC49074.2020.9051279-
dc.identifier.bibliographicCitation2020 International Conference on Electronics, Information, and Communication (ICEIC), pp 1 - 3-
dc.citation.title2020 International Conference on Electronics, Information, and Communication (ICEIC)-
dc.citation.startPage1-
dc.citation.endPage3-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassother-
dc.subject.keywordAuthorBlockchain-
dc.subject.keywordAuthorConsensus-
dc.subject.keywordAuthormulti-block-
dc.subject.keywordAuthorscalability-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/9051279?arnumber=9051279&SID=EBSCO:edseee-
Files in This Item
Go to Link
Appears in
Collections
COLLEGE OF COMPUTING > ERICA 컴퓨터학부 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Cho, Sung hyun photo

Cho, Sung hyun
ERICA 소프트웨어융합대학 (ERICA 컴퓨터학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE