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dc.contributor.authorWagner, Kevin-
dc.contributor.authorKeller, Thomas-
dc.contributor.authorSeiler, Roger-
dc.date.accessioned2019-12-05T10:14:53Z-
dc.date.available2019-12-05T10:14:53Z-
dc.date.issued2019-
dc.identifier.isbn978-989-8533-95-1de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/18789-
dc.identifier.urihttp://www.iadisportal.org/digital-library/a-comparative-analysis-of-cryptocurrency-consensus-algorithmsde_CH
dc.description.abstractThe aim of this work is to analyze the major existing cryptocurrency consensus algorithms considering a number of attributes that may play a significant role in the long-term sustainability of a cryptocurrency ecosystem and to comparatively evaluate a selection of existing algorithms or cryptocurrencies to deduce the most sustainable examples currently in existence. To reach this goal, the term “sustainability of cryptocurrencies” was first defined through the means of a detailed analysis on various attributes that define cryptocurrencies as well as their reward systems. In order to research existing consensus mechanisms and reward systems as well as their current capabilities, shortcomings and dissemination, a literature review was conducted. This lays the foundation for the subsequent comparative analysis on the introduced consensus algorithms and deduction of a sustainable variant that fulfills the main sustainability criteria identified for this context: scalability, security, power consumption, long-term governance as well as the incentives and costs of participating in the consensus protocol. Over the course of this research, only one existing consensus algorithm category under the name of delegated Proof-of-Stake (dPoS) has shown to best achieve the traits outlined above and the specific example of a cryptocurrency called EOS is identified and elaborated in detail. Having outlined the initial definition of a sustainable cryptocurrency, future research and development in this direction is recommended to review the subtle yet important differences within the category of dPoS cryptocurrencies to determine the most sustainable approach and potentially refine the given definition. The dissemination of the knowledge obtained in this work as well as future research into all existing dPoS implementations could potentially accelerate the evolution of consensus mechanisms and prompt current instantiations of other algorithms to consider following this path in the pursuit of sustainable cryptocurrencies.de_CH
dc.language.isoende_CH
dc.publisherIADISde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectConsensus algorithmde_CH
dc.subjectCryptocurrencyde_CH
dc.subjectSustainabilityde_CH
dc.subject.ddc004: Informatikde_CH
dc.subject.ddc332: Finanzwirtschaftde_CH
dc.titleA comparative analysis of cryptocurrency consensus algorithmsde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Management and Lawde_CH
zhaw.organisationalunitInstitut für Wirtschaftsinformatik (IWI)de_CH
zhaw.conference.detailsAC 2019 16th International Conference Applied Computing, Cagliari, Italy, 7-9 November 2019de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end225de_CH
zhaw.pages.start217de_CH
zhaw.parentwork.editorWeghorn, Hans-
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.title.proceedingsProceedings of the 16th international conference applied computingde_CH
zhaw.author.additionalNode_CH
Appears in collections:Publikationen School of Management and Law

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Wagner, K., Keller, T., & Seiler, R. (2019). A comparative analysis of cryptocurrency consensus algorithms [Conference paper]. In H. Weghorn (Ed.), Proceedings of the 16th international conference applied computing (pp. 217–225). IADIS. http://www.iadisportal.org/digital-library/a-comparative-analysis-of-cryptocurrency-consensus-algorithms
Wagner, K., Keller, T. and Seiler, R. (2019) ‘A comparative analysis of cryptocurrency consensus algorithms’, in H. Weghorn (ed.) Proceedings of the 16th international conference applied computing. IADIS, pp. 217–225. Available at: http://www.iadisportal.org/digital-library/a-comparative-analysis-of-cryptocurrency-consensus-algorithms.
K. Wagner, T. Keller, and R. Seiler, “A comparative analysis of cryptocurrency consensus algorithms,” in Proceedings of the 16th international conference applied computing, 2019, pp. 217–225. [Online]. Available: http://www.iadisportal.org/digital-library/a-comparative-analysis-of-cryptocurrency-consensus-algorithms
WAGNER, Kevin, Thomas KELLER und Roger SEILER, 2019. A comparative analysis of cryptocurrency consensus algorithms. In: Hans WEGHORN (Hrsg.), Proceedings of the 16th international conference applied computing [online]. Conference paper. IADIS. 2019. S. 217–225. ISBN 978-989-8533-95-1. Verfügbar unter: http://www.iadisportal.org/digital-library/a-comparative-analysis-of-cryptocurrency-consensus-algorithms
Wagner, Kevin, Thomas Keller, and Roger Seiler. 2019. “A Comparative Analysis of Cryptocurrency Consensus Algorithms.” Conference paper. In Proceedings of the 16th International Conference Applied Computing, edited by Hans Weghorn, 217–25. IADIS. http://www.iadisportal.org/digital-library/a-comparative-analysis-of-cryptocurrency-consensus-algorithms.
Wagner, Kevin, et al. “A Comparative Analysis of Cryptocurrency Consensus Algorithms.” Proceedings of the 16th International Conference Applied Computing, edited by Hans Weghorn, IADIS, 2019, pp. 217–25, http://www.iadisportal.org/digital-library/a-comparative-analysis-of-cryptocurrency-consensus-algorithms.


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