Undetectable Selfish Mining
Maryam Bahrani, S. Matthew Weinberg

TL;DR
This paper introduces a selfish mining strategy in Bitcoin that is statistically indistinguishable from honest mining, making detection difficult while remaining profitable for attackers with a significant portion of the network's hash power.
Contribution
The authors develop a new selfish mining variant that is provably statistically undetectable and profitable for miners with over 38.2% of total hash rate.
Findings
The strategy is undetectable under the stylized model with honest miners' orphan rate.
It remains profitable for attackers with more than 38.2% hash rate.
The orphaned block pattern matches that of a network with higher delay and honest miners.
Abstract
Seminal work of Eyal and Sirer (2014) establishes that a strategic Bitcoin miner may strictly profit by deviating from the intended Bitcoin protocol, using a strategy now termed *selfish mining*. More specifically, any miner with of the total hashrate can earn bitcoin at a faster rate by selfish mining than by following the intended protocol (depending on network conditions, a lower fraction of hashrate may also suffice). One convincing critique of selfish mining in practice is that the presence of a selfish miner is *statistically detectable*: the pattern of orphaned blocks created by the presence of a selfish miner cannot be explained by natural network delays. Therefore, if an attacker chooses to selfish mine, users can detect this, and this may (significantly) negatively impact the value of BTC. So while the attacker may get slightly more bitcoin by selfish mining, these…
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Taxonomy
TopicsBlockchain Technology Applications and Security · Internet Traffic Analysis and Secure E-voting · Privacy-Preserving Technologies in Data
