Profitable Manipulations of Cryptographic Self-Selection are Statistically Detectable
Linda Cai, Jingyi Liu, S. Matthew Weinberg, Chenghan Zhou

TL;DR
This paper proves that for small enough stakeholders, any profitable manipulation of cryptographic self-selection protocols can be statistically detected by observing the sequence of random seeds, ensuring protocol integrity.
Contribution
It establishes that for stakeholders with less than approximately 38% of the stake, all profitable manipulations are statistically detectable based on seed distributions.
Findings
Profitably manipulating the protocol is detectable for stakeholders with less than 38% stake.
Sequence of random seeds under manipulation is statistically inconsistent with honest behavior.
Detectability is achieved by analyzing seed distribution deviations from honest patterns.
Abstract
Cryptographic Self-Selection is a common primitive underlying leader-selection for Proof-of-Stake blockchain protocols. The concept was first popularized in Algorand [CM19], who also observed that the protocol might be manipulable. [FHWY22] provide a concrete manipulation that is strictly profitable for a staker of any size (and also prove upper bounds on the gains from manipulation). Separately, [YSZ23, BM24] initiate the study of undetectable profitable manipulations of consensus protocols with a focus on the seminal Selfish Mining strategy [ES14] for Bitcoin's Proof-of-Work longest-chain protocol. They design a Selfish Mining variant that, for sufficiently large miners, is strictly profitable yet also indistinguishable to an onlooker from routine latency (that is, a sufficiently large profit-maximizing miner could use their strategy to strictly profit over being honest in a way…
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