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arXiv · 2109.04911

RandSolomon: Optimally Resilient Random Number Generator with Deterministic Termination

Luciano Freitas de Souza·Andrei Tonkikh·Sara Tucci-Piergiovanni·Renaud Sirdey·Oana Stan·Nicolas Quero·Petr Kuznetsov
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Abstract

Multi-party random number generation is a key building-block in many practical protocols. While straightforward to solve when all parties are trusted to behave correctly, the problem becomes much more difficult in the presence of faults. In this context, this paper presents RandSolomon, a protocol that allows a network of N processes to produce an unpredictable common random number among the non-faulty of them. We provide optimal resilience for partially-synchronous systems where less than a third of the participants might behave arbitrarily and, contrary to many solutions, we do not require at any point faulty-processes to be responsive.

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Luciano Freitas de Souza, Andrei Tonkikh, Sara Tucci-Piergiovanni, Renaud Sirdey, Oana Stan, Nicolas Quero, Petr Kuznetsov. 2021-09-10. RandSolomon: Optimally Resilient Random Number Generator with Deterministic Termination. https://arxiv.org/abs/2109.04911

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