What is the Context of DAG Consensus?

DAG consensus mechanisms are frequently discussed in relation to scalability solutions for distributed ledger technologies, offering an alternative to traditional blockchain consensus models. News often highlights projects adopting DAG structures to address limitations in transaction speed and cost. Debates frequently revolve around the security properties and finality guarantees of different DAG-based consensus algorithms compared to established proof-of-work or proof-of-stake systems.

DAG Consensus

Definition

DAG consensus refers to a method of achieving agreement among network participants in distributed ledger technologies that utilize a Directed Acyclic Graph (DAG) structure instead of a traditional blockchain. In a DAG, transactions confirm each other, creating a web of interconnected entries rather than a linear chain. This approach aims to offer higher transaction throughput and potentially faster confirmation times by allowing for parallel processing and eliminating the need for miners in some designs. The consensus is reached through the cumulative validation of transactions by subsequent entries.

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∞Decentralized Finance

∞BFT Protocols

∞Transaction Ordering

Fino Protocol Achieves MEV Protection on High-Throughput DAG Consensus

Fino embeds blind order-fairness into DAG-BFT with zero message overhead, securing high-throughput systems against transaction reordering attacks.

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∞System Integrity

∞Proof Reuse

∞Acyclic Graph

Compositional Formal Verification Secures DAG Consensus Protocol Architectures

A new compositional framework using TLA+ achieves reusable formal verification for DAG consensus, halving proof effort and ensuring robust safety assurances for next-generation architectures.

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∞DAG Consensus

∞Immutable Ledger

∞Compositional Proofs

Compositional Formal Proofs Secure DAG Consensus Protocols Systemically

A new compositional framework provides mathematically rigorous, reusable safety proofs for complex DAG-based consensus, fundamentally securing high-throughput decentralized systems.

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∞Mempool Manipulation

∞Block Producers

∞Transaction Fairness

DAG Consensus Introduces Novel Frontrunning Attacks Requiring Architecture-Specific Mitigation

The analysis of DAG-based systems reveals three new frontrunning attack vectors, proving high-throughput architectures introduce complex, unmitigated MEV risk.

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∞Byzantine Agreement

∞DAG Consensus

∞Network Latency

Odontoceti: Ultra-Fast DAG Consensus with Two-Round Commitment

Odontoceti pioneers a DAG-based consensus achieving two-round transaction commitment, dramatically enhancing scalability and latency by strategically balancing fault tolerance for future blockchain architectures.

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∞Safety Properties

∞TLA+ Specification

∞Formal Verification

Composable Formal Verification Secures DAG Consensus Protocols with Reusable Proofs

This research introduces a novel framework for formally verifying DAG-based consensus protocols, significantly enhancing their security and accelerating development through proof reuse.

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∞Liveness Guarantee

∞Trusted Execution

∞DAG Consensus

Trusted Components Enable Scalable Censorship-Resistant DAG Consensus

Fides introduces a novel DAG-based BFT consensus protocol, leveraging Trusted Execution Environments to significantly enhance scalability and censorship resistance.

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∞Byzantine Fault Tolerance

∞Common Core

∞Scalable Blockchains

Asymmetric Trust DAG Consensus for Robust, High-Performance Decentralized Systems

This research introduces a novel asymmetric gather protocol, enabling DAG-based consensus mechanisms to operate efficiently under diverse, subjective trust assumptions, fostering more resilient and scalable blockchains.

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∞System Adaptation

∞Data Throughput

∞Distributed Systems

Angelfish Unifies Optimal Blockchain Throughput and Latency

Angelfish introduces a hybrid consensus protocol, seamlessly blending leader-based efficiency with DAG-based scalability, promising high throughput and low latency for decentralized systems.