@inproceedings{091f9c992e124ac48e029b8f89355536,
title = "Optimal RANDAO Manipulation in Ethereum",
abstract = "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.",
keywords = "Blockchain, Consensus, Ethereum, Proof of Stake, Randomness manipulation",
author = "Kaya Alpturer and Weinberg, \{S. Matthew\}",
note = "Publisher Copyright: {\textcopyright} Kaya Alpturer and S. Matthew Weinberg.; 6th Conference on Advances in Financial Technologies, AFT 2024 ; Conference date: 23-09-2024 Through 25-09-2024",
year = "2024",
month = sep,
doi = "10.4230/LIPIcs.AFT.2024.10",
language = "English (US)",
series = "Leibniz International Proceedings in Informatics, LIPIcs",
publisher = "Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing",
editor = "Rainer Bohme and Lucianna Kiffer",
booktitle = "6th Conference on Advances in Financial Technologies, AFT 2024",
address = "Germany",
}