Briefing

The core research problem is the high communication overhead of Byzantine Reliable Broadcast (BRB) protocols, especially when compounded by a message-dropping network adversary. This work proposes a Message-Adversary-Tolerant BRB (MBRB) algorithm that fundamentally alters the communication model, replacing full message re-broadcasts with authenticated fragments derived from erasure-correcting codes. This mechanism, secured by threshold signatures and vector commitments, reduces the communication complexity per node from a previous state-of-the-art $O(n|m| + n^2kappa)$ to a near-optimal $O(|m| + nkappa)$. This new theory establishes a critical efficiency benchmark for foundational distributed systems, enabling the construction of more scalable and robust asynchronous blockchain architectures.

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Context

Foundational distributed consensus protocols, including State Machine Replication (SMR) and BRB, have long been constrained by communication complexity. The prevailing challenge was ensuring all correct nodes receive and agree on a message, even with a Byzantine fault threshold $t$, which typically requires quadratic or linear-in-message-size communication complexity. This complexity is amplified in real-world asynchronous networks where a message adversary can arbitrarily drop packets, forcing costly full message re-broadcasts or complex multi-round verification. This established limitation posed a direct bottleneck to the practical scalability of high-throughput decentralized systems.

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Analysis

The breakthrough mechanism is the application of coding theory to the Byzantine Reliable Broadcast problem. Instead of forcing nodes to forward the entire message $m$ to ensure receipt, the protocol first encodes $m$ into a larger set of fragments using an erasure-correcting code. Each node then only forwards a subset of these fragments, which are authenticated using vector commitments and threshold signatures.

A correct node can reconstruct the original message $m$ as long as it receives a sufficient threshold of fragments, even if a significant number of other fragments are dropped by the network adversary. This transforms the communication requirement from transferring the full message $n$ times to transferring only a fixed-size encoding of the message plus a minimal cryptographic overhead.

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Parameters

  • Communication Complexity → $O(|m| + nkappa)$ bits per node. This is the new, near-optimal asymptotic bound for message-adversary-tolerant reliable broadcast, where $|m|$ is the message size and $kappa$ is the security parameter.
  • Fault Tolerance Condition → $n > 3t + 2d$. This is the minimum number of total nodes ($n$) required to tolerate $t$ Byzantine nodes and $d$ dropped messages per broadcast.
  • Message Count → At most $4n^2$ messages overall. This is the asymptotically optimal total message count for the protocol.

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Outlook

This theoretical advance directly impacts the design of next-generation asynchronous BFT and State Machine Replication protocols. The ability to achieve near-optimal communication complexity under realistic network duress (message dropping) makes this MBRB algorithm a vital primitive for high-throughput, low-latency Layer 1 and Layer 2 systems. Future research will focus on integrating this primitive into full consensus protocols, potentially enabling decentralized systems to scale without sacrificing security or requiring overly restrictive network synchrony assumptions. This work establishes a new foundation for communication efficiency in the core of all decentralized systems.

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Verdict

The new MBRB protocol redefines the theoretical lower bound for communication efficiency in asynchronous Byzantine systems, providing a critical, highly optimized primitive for future blockchain consensus.

Byzantine fault tolerance, Reliable broadcast protocol, Optimal communication complexity, Message adversary model, Erasure correcting codes, Vector commitment schemes, Threshold signature primitives, Distributed systems security, Asynchronous networks, Fault tolerant systems, Cryptographic primitives, Message fragmentation, Data reconstruction, Network resilience, Consensus protocol efficiency, Scalable distributed ledger, Optimal message bounds, Authentication techniques, Security parameter Signal Acquired from → dagstuhl.de

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communication complexity

Definition ∞ Communication complexity quantifies the amount of information exchanged between parties to compute a function.

state machine replication

Definition ∞ State machine replication is a technique for achieving fault tolerance in distributed systems by ensuring that all replicas of a service execute the same operations in the same order.

threshold signatures

Definition ∞ Threshold signatures are a type of cryptographic signature scheme that requires a minimum number of participants to authorize a transaction or message.

network

Definition ∞ A network is a system of interconnected computers or devices capable of communication and resource sharing.

reliable broadcast

Definition ∞ Reliable broadcast is a fundamental property in distributed systems ensuring that if a correct process sends a message, all other correct processes eventually receive it.

fault tolerance

Definition ∞ Fault tolerance is the property of a system that allows it to continue operating correctly even when one or more of its components fail.

protocol

Definition ∞ A protocol is a set of rules governing data exchange or communication between systems.

optimal communication complexity

Definition ∞ Optimal communication complexity refers to the minimum amount of data exchange required between participants in a distributed system to achieve a specific computational goal.

communication efficiency

Definition ∞ Communication efficiency pertains to the speed, accuracy, and resourcefulness with which information is exchanged.