Computational experimental evaluation of the time variance of cryptocurrency mining using cryptographic hash functions

Kei Ikebe, Kouichi Sakurai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

When trading cryptocurrencies, mining is the process of searching for a solution to a computationally difficult problem. Due to the nature of the search, the time required for mining is subject to fluctuations. This is undesirable from the standpoint of security. In order to reduce the variance of mining time, we implemented the multiple concatenation mining method proposed in existing research and evaluated its performance. Although the results differ from theoretical values, the effect of small variance was confirmed.

Original languageEnglish
Title of host publication2022 4th Blockchain and Internet of Things Conference, BIOTC 2022
PublisherAssociation for Computing Machinery
Pages54-61
Number of pages8
ISBN (Electronic)9781450396622
DOIs
Publication statusPublished - Jul 8 2022
Event4th Blockchain and Internet of Things Conference, BIOTC 2022 - Virtual, Online, Japan
Duration: Jul 8 2022Jul 10 2022

Publication series

NameACM International Conference Proceeding Series

Conference

Conference4th Blockchain and Internet of Things Conference, BIOTC 2022
Country/TerritoryJapan
CityVirtual, Online
Period7/8/227/10/22

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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