What is the Context of Honest Majority?

The concept of an honest majority is a critical security parameter in blockchain design and is frequently referenced in discussions about network decentralization and attack vectors. Any news regarding potential 51% attacks or Sybil attacks directly relates to the integrity of the honest majority assumption. Maintaining a robust honest majority is essential for the long-term security and reliability of a decentralized ledger.

Honest Majority

Definition

An honest majority refers to a fundamental assumption in many distributed consensus protocols, particularly in Byzantine Fault Tolerant systems. It posits that more than two-thirds of the network participants are behaving honestly and following the protocol rules. This condition is necessary to ensure the network can reach agreement and operate correctly, even in the presence of malicious actors. The security of the system relies on this majority.

∞Threshold Cryptography

∞Input Privacy

∞Security

Distributed Verifiable Computation Secures Input Privacy and Fault Tolerance

A new distributed verifiable computation primitive guarantees input privacy and result recovery against colluding workers using cryptographic encoding.

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∞Shamir Secret Sharing

∞Payment Rule

∞Verifiable Secret Sharing

Game Theory Secures Verifiable Secret Sharing against Rational Collusion

A new mechanism design framework embeds a parameterized payment rule into Verifiable Secret Sharing, strategically disincentivizing rational collusion for enhanced decentralized security.

A sleek, white, spherical DLT core with a luminous blue ring serves as the central processing unit, symbolizing an advanced oracle node or smart contract engine. This core is securely housed within a robust, modular framework constructed from interlocking grey components and vibrant, translucent blue crystalline structures. These elements represent distributed network nodes and cryptographic primitives, actively facilitating transaction validation and ensuring the integrity of the immutable ledger through a proof-of-stake consensus mechanism. The glowing blue signifies active data flow and secure multi-party computation.

∞Adversarial Influence

∞Network Scalability

∞Cryptographic Sortition

Deterministic Bounds Secure Committee Selection, Strengthening Decentralization and Scalability

By replacing probabilistic committee selection with deterministic bounds, this new sortition mechanism guarantees an honest majority, enhancing consensus security and network scalability.

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∞Reactive Protocol

∞Leaderless Consensus

∞Asynchronous Periods

DAG-Based BFT Protocol Achieves Optimal Latency without Common Primitives

This novel DAG-based BFT protocol achieves optimal three-round latency by eliminating reliable broadcast and common coin primitives, paving the way for hyper-efficient decentralized systems.

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∞Penalty Protocols

∞Net Present Cost

∞Incentive Compatibility

Financial Fairness Redefines Security for On-Chain Multi-Party Computation

Research introduces Financial Fairness, a new property for cryptographic penalty protocols, ensuring equal net present cost for all honest participants to secure economic rigor.

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∞Fee Market

∞Multi-Party Computation

∞Cryptographic Protocol

Multi-Party Computation Enables Fairer Incentive-Compatible Transaction Fee Mechanisms

Cryptography, via Multi-Party Computation among block producers, circumvents game-theoretic impossibility results to design non-trivial, incentive-compatible fee mechanisms.

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∞Cryptographic Primitive

∞Byzantine Fault Tolerance

∞Asynchronous Verifiable Secret Sharing

Lightweight Asynchronous Secret Sharing Achieves Optimal Resilience and Efficiency

New protocols for Asynchronous Verifiable Secret Sharing (AVSS) leverage lightweight primitives to achieve optimal resilience and amortized linear communication, fundamentally accelerating BFT consensus.