Confidential BFT state machine replication

Bibliographic Details
Main Author: Vassantlal, Robin
Publication Date: 2019
Format: Master thesis
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10451/40304
Summary: Tese de mestrado, Engenharia Informática (Arquitetura, Sistemas e Redes de Computadores) Universidade de Lisboa, Faculdade de Ciências, 2019
id RCAP_b907dfdeabc0dfcc8265e20fd75b47a5
oai_identifier_str oai:repositorio.ulisboa.pt:10451/40304
network_acronym_str RCAP
network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository_id_str https://opendoar.ac.uk/repository/7160
spelling Confidential BFT state machine replicationReplicaçãoTolerância a Faltas BizantinasTolerância a IntrusõesSecret SharingConfidencialidadeTeses de mestrado - 2019Departamento de InformáticaTese de mestrado, Engenharia Informática (Arquitetura, Sistemas e Redes de Computadores) Universidade de Lisboa, Faculdade de Ciências, 2019State Machine Replication (SMR) is a classical approach to implement consistent fault-tolerant services. This approach can also be used to implement intrusion tolerant services – which maintain integrity and availability in the presence of Byzantine faults. However, in order to guarantee confidentiality, a proactive secret sharing scheme must be used to split data into shares to be distributed between servers. These shares should be periodically renewed to protect the secrecy of the data against a mobile adversary. Current share renewing protocols are designed to renew shares of a single secret , and thus are very inefficient when applied to systems that stored a large number of shares. We propose a genetic framework called COBRA that successfully tackles such scalability problem. COBRA integrates Feldman’s secret sharing scheme to split data into data into shares with Herzberg et al. proactive scheme to periodically renew shares and allow the recovery of a server’s state thus providing protection against a mobile a adversary. Furthermore, the framework allows the framework allows the reconfiguration of the system at runtime. We mitigated the impact of recovering a large state composed of multiple shares by proposing an Optimistc Polynomial interpolation (OPI) scheme that integrates Harn and Lin detection scheme to mitigate the cost of verifying feldman’s commitments in faul-free scenarios.We implemented COBRA on top of BFT-SMaRT and evaluated it to undersand the impact of integrating secret sharing into BFT SMR. As expected, the results show that integration of secret sharing layer has a negative impact on the system. However, by emplyoing the OPI scheme, we significantly improved the latency of a share recovery and renew protocls.Bessani, Alysson Neves, 1978-Repositório da Universidade de LisboaVassantlal, Robin2019-11-27T15:50:56Z201920192019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10451/40304TID:202387593enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-03-17T14:13:06Zoai:repositorio.ulisboa.pt:10451/40304Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T03:05:50.922571Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Confidential BFT state machine replication
title Confidential BFT state machine replication
spellingShingle Confidential BFT state machine replication
Vassantlal, Robin
Replicação
Tolerância a Faltas Bizantinas
Tolerância a Intrusões
Secret Sharing
Confidencialidade
Teses de mestrado - 2019
Departamento de Informática
title_short Confidential BFT state machine replication
title_full Confidential BFT state machine replication
title_fullStr Confidential BFT state machine replication
title_full_unstemmed Confidential BFT state machine replication
title_sort Confidential BFT state machine replication
author Vassantlal, Robin
author_facet Vassantlal, Robin
author_role author
dc.contributor.none.fl_str_mv Bessani, Alysson Neves, 1978-
Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Vassantlal, Robin
dc.subject.por.fl_str_mv Replicação
Tolerância a Faltas Bizantinas
Tolerância a Intrusões
Secret Sharing
Confidencialidade
Teses de mestrado - 2019
Departamento de Informática
topic Replicação
Tolerância a Faltas Bizantinas
Tolerância a Intrusões
Secret Sharing
Confidencialidade
Teses de mestrado - 2019
Departamento de Informática
description Tese de mestrado, Engenharia Informática (Arquitetura, Sistemas e Redes de Computadores) Universidade de Lisboa, Faculdade de Ciências, 2019
publishDate 2019
dc.date.none.fl_str_mv 2019-11-27T15:50:56Z
2019
2019
2019-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10451/40304
TID:202387593
url http://hdl.handle.net/10451/40304
identifier_str_mv TID:202387593
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833601591262838784