Byzantine Fault-Tolerant Time in Hyperledger Fabric

Aleksandr Filippov, Artem Barger, Vladimir Popov, Oleg Abdrashitov

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We have recently become witnesses of the constantly growing adoption of distributed ledger technology utilized in various domains, whereas for enterprise-grade solutions, the most prominent platform is Hyperledger Fabric [1]. However, the lack of a trusted source of time within the platform poses certain limitations in how this platform could be used. In particular, there is no built-in mechanism to ensure the expiration of the signing certificates during the validation phase of the transactions processing pipeline, which introduces severe concern from the platform's usability and security point of view. Therefore, we would like to introduce a solution that incorporates Byzantine Fault Tolerant source of time into Hyperledger Fabric, where the suggested approach utilizes opened sourced implementation of SmartBFT [2] distributed consensus protocol.

Original languageEnglish
Title of host publication2022 4th Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages17-24
Number of pages8
ISBN (Electronic)9781665471589
DOIs
StatePublished - 2022
Externally publishedYes
Event4th Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2022 - Paris, France
Duration: 27 Sep 202230 Sep 2022

Publication series

Name2022 4th Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2022

Conference

Conference4th Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2022
Country/TerritoryFrance
CityParis
Period27/09/2230/09/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

  • blockchain
  • byzantine fault-tolerant
  • hyperledger fabric

ASJC Scopus subject areas

  • Management Information Systems
  • Artificial Intelligence
  • Computer Networks and Communications
  • Decision Sciences (miscellaneous)
  • Information Systems and Management

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