Boosting Byzantine Protocols in Large Sparse Networks with High System Assumption Coverage
Shaolin Yu, Jihong Zhu, Jiali Yang, Yulong Zhan

TL;DR
This paper introduces a new multi-scale system assumption to develop efficient and reliable Byzantine protocols in large sparse networks, achieving high assumption coverage and improved fault tolerance.
Contribution
It proposes a novel multi-scale adversary model and demonstrates how to construct efficient Byzantine broadcast and agreement protocols under this model.
Findings
Deterministic Byzantine broadcast achieved in logarithmic-degree networks.
Multi-scale adversary allows better trade-offs between assumption coverage and efficiency.
Protocols maintain high reliability even with some low-layer protocol failures.
Abstract
To improve the overall efficiency and reliability of Byzantine protocols in large sparse networks, we propose a new system assumption for developing multi-scale fault-tolerant systems, with which several kinds of multi-scale Byzantine protocols are developed in large sparse networks with high system assumption coverage. By extending the traditional Byzantine adversary to the multi-scale adversaries, it is shown that efficient deterministic Byzantine broadcast and Byzantine agreement can be built in logarithmic-degree networks. Meanwhile, it is shown that the multi-scale adversary can make a finer trade-off between the system assumption coverage and the overall efficiency of the Byzantine protocols, especially when a small portion of the low-layer small-scale protocols are allowed to fail arbitrarily. With this, efficient Byzantine protocols can be built in large sparse networks with…
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Taxonomy
TopicsDistributed systems and fault tolerance · Privacy-Preserving Technologies in Data · Wireless Communication Security Techniques
