Loosely-self-stabilizing Byzantine-tolerant Binary Consensus for Signature-free Message-passing Systems

TL;DR

This paper extends a randomized Byzantine consensus algorithm to be loosely-self-stabilizing, ensuring resilience to transient faults in asynchronous message-passing systems while maintaining optimal Byzantine fault tolerance and efficiency.

Contribution

It introduces the first loosely-self-stabilizing Byzantine binary consensus algorithm for asynchronous systems, combining self-stabilization with optimal resilience and minimal memory requirements.

Findings

Handles up to t < n/3 Byzantine processes.

Achieves O(1) expected termination time.

Requires bounded local memory.

Abstract

At PODC 2014, A. Most\'efaoui, H. Moumen, and M. Raynal presented a new and simple randomized signature-free binary consensus algorithm (denoted here MMR) that copes with the net effect of asynchrony Byzantine behaviors. Assuming message scheduling is fair and independent from random numbers MMR is optimal in several respects: it deals with up to t Byzantine processes where t < n/3 and n is the number of processes, O(n\^2) messages and O(1) expected time. The present article presents a non-trivial extension of MMR to an even more fault-prone context, namely, in addition to Byzantine processes, it considers also that the system can experience transient failures. To this end it considers self-stabilization techniques to cope with communication failures and arbitrary transient faults (such faults represent any violation of the assumptions according to which the system was designed to operate). The proposed algorithm is the first loosely-self-stabilizing Byzantine fault-tolerant binary consensus algorithm suited to asynchronous message-passing systems. This is achieved via an instructive transformation of MMR to a self-stabilizing solution that can violate safety requirements with probability Pr= O(1/(2\^M)), where M is a predefined constant that can be set to any positive integer at the cost of 3 M n + log M bits of local memory. In addition to making MMR resilient to transient faults, the obtained self-stabilizing algorithm preserves its properties of optimal resilience and termination, (i.e., t < n/3, and O(1) expected time). Furthermore, it only requires a bounded amount of memory.