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Distributed sequential consensus in networks: analysis of partially connected blockchains with uncertainty

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dc.contributor.author Prieto-Castrillo, Francisco
dc.contributor.author Kushch, Sergii
dc.contributor.author Corchado, Juan Manuel
dc.date.accessioned 2020-07-13T08:13:59Z
dc.date.available 2020-07-13T08:13:59Z
dc.date.issued 2017
dc.identifier.uri http://hdl.handle.net/10344/8998
dc.description peer-reviewed en_US
dc.description.abstract This work presents a theoretical and numerical analysis of the conditions under which distributed sequential consensus is possible when the state of a portion of nodes in a network is perturbed. Specifically, it examines the consensus level of partially connected blockchains under failure/attack events. To this end, we developed stochastic models for both verification probability once an error is detected and network breakdown when consensus is not possible. Through a mean field approximation for network degree we derive analytical solutions for the average network consensus in the large graph size thermodynamic limit.The resulting expressions allow us to derive connectivity thresholds above which networks can tolerate an attack. en_US
dc.language.iso eng en_US
dc.publisher Hindawi en_US
dc.relation SA070U16 en_US
dc.relation.ispartofseries Complexity;4832740
dc.subject cyber-security en_US
dc.subject analytical solutions en_US
dc.title Distributed sequential consensus in networks: analysis of partially connected blockchains with uncertainty en_US
dc.type info:eu-repo/semantics/article en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.identifier.doi 10.1155/2017/4832740
dc.contributor.sponsor Regional Ministry of Education from Castilla y Leon en_US
dc.contributor.sponsor European Social Fund en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US


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