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Cited by 481

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Stubborn Mining: Generalizing Selfish Mining and Combining with an Eclipse Attack

Nayak, Kartik, Kumar, Srijan, Miller, Andrew, Shi, Elaine·2016·2016 IEEE European Symposium on Security and Privacy (EuroS&P)

Abstract

Selfish mining, originally discovered by Eyal et al. [9], is a well-known attack where a selfish miner, under certain conditions, can gain a disproportionate share of reward by deviating from the honest behavior. In this paper, we expand the mining strategy space to include novel "stubborn" strategies that, for a large range of parameters, earn the miner more revenue. Consequently, we show that the selfish mining attack is not (in general) optimal. Further, we show how a miner can further amplify its gain by non-trivially composing mining attacks with network-level eclipse attacks. We show, surprisingly, that given the attacker's best strategy, in some cases victims of an eclipse attack can actually benefit from being eclipsed!

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Metadata

Authors
Nayak, K., Kumar, S., Miller, A., & Shi, E.
Venue
2016 IEEE European Symposium on Security and Privacy (EuroS&P)
Publisher
IEEE
Published
2016-03
Pages
305-320
OpenAlex
W2295506186
Cited by
481
References
1
FWCI
45.59
Type
conference paper
Language
en
Open access
closed

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