Fast B4B: Fast BFT for Blockchains

09/29/2021
by   Mohammad M. Jalalzai, et al.
0

Low latency is one of the desired properties for partially synchronous Byzantine consensus protocols. Previous protocols have achieved consensus with just two communication steps either by reducing the bound on the number of faults the protocol can tolerate (f ≤n-1/5) or use of trusted hardware like Trusted Execution Environment or TEEs. In this paper, we propose a protocol called Fast B4B, in which the protocol achieves consensus in just two communication steps. Fast B4B can tolerate maximum number of faults a partial BFT consensus can tolerate (f ≤n-1/3). Furthermore, Fast B4B does not require the use of any trusted hardware. The trade-off for this achievement is that at most f times some nodes may revert their blocks. We show that this reversion of a block will not compromise the safety of the protocol at all, yet it may incur a small amount of additional latency during view change.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
11/23/2019

No Need for Recovery: A Simple Two-Step Byzantine Consensus

In this paper, we give a deterministic two-step Byzantine consensus prot...
research
05/16/2023

Raft-Forensics: High Performance CFT Consensus with Accountability for Byzantine Faults

Crash fault tolerant (CFT) consensus algorithms are commonly used in sce...
research
05/24/2019

Making Speculative BFT Resilient with Trusted Monotonic Counters

Consensus mechanisms used by popular distributed ledgers are highly scal...
research
09/05/2018

Blockmania: from Block DAGs to Consensus

Blockmania is a byzantine consensus protocol. Nodes emit blocks forming ...
research
01/06/2021

Highway: Efficient Consensus with Flexible Finality

There has been recently a lot of progress in designing efficient partial...
research
10/22/2020

Fast-HotStuff: A Fast and Resilient HotStuff Protocol

The HotStuff protocol is a recent breakthrough inByzantine Fault Toleran...
research
01/14/2022

Bullshark: DAG BFT Protocols Made Practical

We present Bullshark, the first directed acyclic graph (DAG) based Byzan...

Please sign up or login with your details

Forgot password? Click here to reset