Verifiable Randomness Secures Blockchain Consensus Fairness and Transparency ∞ Research

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Briefing

This research addresses the fundamental challenge of achieving impartial participant selection within blockchain consensus mechanisms, a critical factor for network fairness and security. It proposes the Blockchain-based Publicly Verifiable Randomness Algorithm (BCPVRNG-SC), a foundational breakthrough that leverages two distinct pseudorandom number generators to embed verifiable, unpredictable, and tamper-resistant random seeds directly into the blockchain data structure. This innovative approach ensures that the selection of block proposers and verifier committees is genuinely unbiased, thereby establishing a more robust and trustworthy foundation for future blockchain architectures.

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Context

Prior to this work, existing blockchain consensus protocols often faced inherent limitations in guaranteeing truly fair and transparent participant selection. The reliance on various forms of proof mechanisms, while providing security, could introduce vulnerabilities to bias or manipulation in the processes that determine which nodes propose or validate blocks. This created an ongoing academic and practical challenge in achieving optimal decentralization and trust, as the integrity of the network fundamentally depends on the impartiality of its operational components.

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Analysis

The core mechanism introduced is the Blockchain-based Publicly Verifiable Randomness Algorithm (BCPVRNG-SC), which fundamentally redefines how randomness is integrated into blockchain consensus. This mechanism employs two specialized pseudorandom number generators ∞ the Encapsulated Range-Constrained Random Number Generation Algorithm (ER-CRNG) and the Blockchain-based Publicly Verifiable Random Number Generation Algorithm with Smart Contract Integration (BCPVRNG-SG). These algorithms generate random seeds by drawing entropy from diverse on-chain sources, including block hashes, timestamps, and smart contracts. The critical distinction lies in the verifiable nature of this randomness; the generated numbers are not only unpredictable and tamper-resistant but also publicly auditable, ensuring that the selection of network participants for consensus roles is transparently fair in every round.

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Parameters

Core Concept ∞ Publicly Verifiable Randomness
New System/Protocol ∞ Blockchain-based Publicly Verifiable Randomness Algorithm (BCPVRNG-SC)
Key Algorithms ∞ Encapsulated Range-Constrained Random Number Generation Algorithm (ER-CRNG), Blockchain-based Publicly Verifiable Random Number Generation Algorithm with Smart Contract Integration (BCPVRNG-SG)
Authors ∞ S. S. Saranya, R. Sivaraj, M. Vijayakumar
Publication ∞ Tehnički vjesnik, Vol. 32 No. 4, 2025

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Outlook

This research opens significant avenues for enhancing the foundational integrity of decentralized networks. The integration of publicly verifiable randomness into consensus mechanisms provides a robust primitive for future blockchain designs, particularly those requiring provably fair participant selection in contexts such as decentralized governance, verifiable lotteries, or secure sharding protocols. Over the next three to five years, this theoretical framework could enable the development of more equitable and resilient blockchain systems, fostering greater trust and predictability in their operation, and stimulating further academic inquiry into advanced randomness generation and integration techniques.

The introduction of publicly verifiable randomness as a core component for blockchain consensus represents a decisive step towards achieving truly fair, transparent, and resilient decentralized architectures.

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