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Tangle 2.0 Leaderless Nakamoto Consensus on the Heaviest DAG (2205.02177v2)

Published 4 May 2022 in cs.DC

Abstract: We introduce the theoretical foundations of the Tangle 2.0, a probabilistic leaderless consensus protocol based on a directed acyclic graph (DAG) called the Tangle. The Tangle naturally succeeds the blockchain as its next evolutionary step as it offers features suited to establish more efficient and scalable distributed ledger solutions. Consensus is no longer found in the longest chain but on the heaviest DAG, where PoW is replaced by a stake- or reputation-based weight function. The DAG structure and the underlying Reality-based UTXO Ledger allow parallel validation of transactions without the need for total ordering. Moreover, it enables the removal of the intermediary of miners and validators, allowing a pure two-step process that follows the \emph{propose-vote} paradigm at the node level and not at the validator level. We propose a framework to analyse liveness and safety under different communication and adversary models. This allows providing impossibility results in some edge cases and in the asynchronous communication model. We provide formal proof of the security of the protocol assuming a common random coin.

Citations (36)

Summary

  • The paper introduces a novel consensus mechanism that eliminates central leadership by leveraging a weighted Directed Acyclic Graph.
  • Its methodology replaces traditional Proof-of-Work with a weight-based approach, achieving rapid, parallel transaction processing and improved scalability.
  • The proposed protocol secures the ledger through probabilistic methods, ensuring transaction finality even in asynchronous and adversarial network conditions.

Analysis of the Tangle 2.0: Leaderless Nakamoto Consensus on the Heaviest DAG

The introduction of blockchain technologies catalyzed advancements in decentralized systems by establishing new paradigms of consensus protocols. In the evolution of these systems, the "Tangle 2.0" proposes significant strides beyond conventional blockchain structures, outlined in the presented paper. This paper elaborates on a novel consensus mechanism using Directed Acyclic Graphs (DAGs), specifically designed for the IOTA distributed ledger. The central theme revolves around the removal of hierarchical structures that rely on leaders for consensus, and instead, establishes agreement on the "heaviest" DAG by leveraging probabilistic methods.

Rationale and Methodology

The primary goal of Tangle 2.0 is to extend the capabilities of distributed ledgers (DLTs) by addressing two integral challenges of traditional blockchains: scalability and efficiency. Unlike the blockchain's longest chain rule, Tangle 2.0 thrives on a heterarchical framework where consensus is determined not by the length of a chain but by the "weight" of a DAG. The protocol ingeniously replaces Proof-of-Work (PoW) with a mechanism grounded in weight functions that draw from node reputation or stake — a notable divergence from PoW's computational costliness.

Tangle 2.0 eliminates the bottleneck of block formation characteristic of blockchains, enabling rapid, parallel processing of transactions – a significant step forward in addressing scalability concerns. The ledger's inherent structure allows transactions to coexist in a DAG model, facilitating conflict resolution without a linear sequence. This adaptability is encapsulated in its "Reality-based UTXO Ledger," which manages transactional realities efficiently in parallel.

Theoretical Framework and Proofs

A significant contribution of the paper is its systematic exploration of the proposed framework's theoretical underpinnings. The authors define formal models for assessing liveness and safety across different adversarial conditions. Critical in this examination is the DAG's ability to operate under various synchrony assumptions. The proof of protocol security given the existence of a common randomness – termed a "common random coin" – demonstrates a level of robustness that could inspire trust in distributed network adversities commonly faced in asynchronous communications.

The mechanisms within Tangle 2.0 assure stakeholders of transaction finality, enabling a consistent ledger state when faced with adversarial challenges. The probabilistic consensus allows for continuous ledger operation without the stalling effect seen in leader-based systems.

Applications and Implications

Practically, adopting Tangle 2.0's architecture can lead to innovations in scalable, feeless micro transactions, democratizing access to DLT technology. Its implementation holds promising implications for IoT platforms, where fast, autonomous machine transactions necessitate such characteristics. Furthermore, the paper's proposed architectural shifts provide a framework that reduces the centralization risks posed by leader-based systems, thus enhancing the fault tolerance of distributed systems.

Theoretically, Tangle 2.0 opens new research areas in asynchronous consensus systems. The interplay between rational economic incentives and decentralized topology in Tangle 2.0 frames a potential exploration path for models focusing on game-theoretical incentives intrinsic to vote-based systems.

Future Developments

Future developments from this research might involve optimizing the balance between network synchronicity assumptions and adversarial conditions, potentially extending the model's application to broader permissionless environments. Additionally, iterative refinements and practical deployment in varied ecosystems will further solidify or challenge the protocol's efficiency and security promises.

In conclusion, Tangle 2.0 represents a theoretical and practical evolution of consensus protocols beyond the chains of Bitcoin's original vision. Its shift towards asynchronous models heralds new avenues for exploration in the field of distributed networks, promising a decentralized convergence on ledger consensus. The proposed model's robustness and scalability make it a foundational construct for advancing the next generation of decentralized technologies.

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