Optimizing multi-party agreement protocols

Ivan Fedotov, Anton Khritankov, Artem Barger

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

Abstract

Blockchain technology has developed rapidly over the last few years. A Blockchain network uses the multi-party agreement concept to reach an agreement on the transaction confirmation. As the technology is new, tools and techniques for blockchain verification are still under development. We explore optimization techniques of weighted multi-party agreements with stochastic properties in the current work. We represent a multiparty agreement as a discrete-time Markov chain and specification in a probabilistic linear temporal logic form. We demonstrate how to change the protocol parameters to satisfy the specification and illustrate the work of algorithms in experiments. Finally, we discuss the usage of proposed algorithms in the Hyperledger Fabric framework.

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.
Pages55-58
Number of pages4
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
  • Hyperledger Fabric
  • multi-party agreement
  • statistical model checking
  • verification

ASJC Scopus subject areas

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

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