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Minimal Byzantine Fault Tolerance

Authors: Veronese, Giuliana Santos; Correia, Miguel; Lung, Lau Cheuk; Bessani, Alysson Neves;

Minimal Byzantine Fault Tolerance

Abstract

This paper presents two Byzantine fault-tolerant state machine replication (BFT) algorithms that are minimal in several senses. First, they require only 2 f +1 replicas, instead of the usual 3 f +1. Second, the trusted service in which this reduction of replicas is based is arguably minimal: it provides an interface with a single function and is composed only by a counter and a signature generation primitive. Third, in nice executions the two algorithms run in the minimum number of communication steps for non-speculative and speculative algorithms, respectively 4 and 3 steps. The paper is also the first to present BFT algorithms with 2 f +1 replicas that require a trusted service implementable using commercial off-the-shelf trusted hardware: this service can be implemented with the Trusted Platform Module currently available as a chip in the mainboard of many commodity PCs

This technical report was superseded by report DI-TR-09-15

Country
Portugal
Related Organizations
Keywords

Security, Byzantine Fault-Tolerance, Trusted Platform Module, Distributed Algorithms

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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Green