PureLottery: Fair and Bias-Resistant Leader Election with a Novel Single-Elimination Tournament Algorithm
Jonas Ballweg

TL;DR
PureLottery introduces a fair, bias-resistant leader election method inspired by sports tournaments, eliminating the need for complex randomness generation and ensuring honest participants have guaranteed chances of winning.
Contribution
It presents a novel single-elimination tournament algorithm for leader election that is simple, efficient, and robust against manipulation, with strong game-theoretic incentives for honesty.
Findings
Ensures each honest participant has at least a 1/n chance of winning.
Operates with low computational and communication complexity.
Robust against adversaries and suitable for blockchain environments.
Abstract
Leader Election (LE) is crucial in distributed systems and blockchain technology, ensuring one participant acts as the leader. Traditional LE methods often depend on distributed random number generation (RNG), facing issues like vulnerability to manipulation, lack of fairness, and the need for complex procedures such as verifiable delay functions (VDFs) and publicly-verifiable secret sharing (PVSS). This Bachelor's thesis presents a novel approach to randomized LE, leveraging a game-theoretic assumption that participants, aiming to be chosen as leaders, will naturally avoid actions that diminish their chances. This perspective simplifies LE by eliminating the need for decentralized RNG. Introducing PureLottery, inspired by single-elimination sports tournaments, this method offers a fair, bias-resistant, and efficient LE solution for blockchain environments. It operates on the principle…
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Taxonomy
TopicsGame Theory and Applications · Game Theory and Voting Systems
