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Title: Ethereum Tokens: Simulating Native Tokens in Ethereum
Award ID(s):
2055599
PAR ID:
10413777
Author(s) / Creator(s):
; ;
Date Published:
Journal Name:
CSCML 2022
Volume:
13301
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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  1. Böhme, Rainer; Kiffer, Lucianna (Ed.)
    It is well-known that RANDAO manipulation is possible in Ethereum if an adversary controls the proposers assigned to the last slots in an epoch. We provide a methodology to compute, for any fraction α of stake owned by an adversary, the maximum fraction f(α) of rounds that a strategic adversary can propose. We further implement our methodology and compute f(⋅) for all α. For example, we conclude that an optimal strategic participant with 5% of the stake can propose a 5.048% fraction of rounds, 10% of the stake can propose a 10.19% fraction of rounds, and 20% of the stake can propose a 20.68% fraction of rounds. 
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