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dc.contributor.authorBlum, Erica
dc.contributor.authorLeung, Derek
dc.contributor.authorLoss, Julian
dc.contributor.authorKatz, Jonathan
dc.contributor.authorRabin, Tal
dc.date.accessioned2023-12-12T14:19:35Z
dc.date.available2023-12-12T14:19:35Z
dc.date.issued2023-11-15
dc.identifier.isbn979-8-4007-0050-7
dc.identifier.urihttps://hdl.handle.net/1721.1/153140
dc.description.abstractThe Algorand consensus protocol is interesting both in theory and in practice. On the theoretical side, to achieve adaptive security, it introduces the novel idea of player replaceability, where each step of the protocol is executed by a different randomly selected committee whose members remain secret until they send their first and only message. The protocol provides consistency under arbitrary network conditions and liveness under intermittent network partitions. On the practical side, the protocol is used to secure the Algorand cryptocurrency, whose total value is approximately 850M at the time of writing. The Algorand protocol in use differs substantially from the protocols described in the published literature on Algorand. Despite its significance, it lacks a formal analysis. In this work, we describe and analyze the Algorand consensus protocol as deployed today in Algorand's ecosystem. We show that the overall protocol framework is sound by characterizing network conditions and parameter settings under which the protocol can be proven secure.en_US
dc.publisherACM|Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Securityen_US
dc.relation.isversionofhttps://doi.org/10.1145/3576915.3623167en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceAssociation for Computing Machineryen_US
dc.titleAnalyzing the Real-World Security of the Algorand Blockchainen_US
dc.typeArticleen_US
dc.identifier.citationBlum, Erica, Leung, Derek, Loss, Julian, Katz, Jonathan and Rabin, Tal. 2023. "Analyzing the Real-World Security of the Algorand Blockchain."
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.identifier.mitlicensePUBLISHER_CC
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2023-12-01T08:46:06Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2023-12-01T08:46:06Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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