Stubborn mining: Generalizing selfish mining and combining with an eclipse attack

Kartik Nayak, Srijan Kumar, Andrew Miller, Elaine Shi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationProceedings - 2016 IEEE European Symposium on Security and Privacy, EURO S and P 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages305-320
Number of pages16
ISBN (Electronic)9781509017515
DOIs
StatePublished - May 9 2016
Externally publishedYes
Event1st IEEE European Symposium on Security and Privacy, EURO S and P 2016 - Saarbruecken, Germany
Duration: Mar 21 2016Mar 24 2016

Publication series

NameProceedings - 2016 IEEE European Symposium on Security and Privacy, EURO S and P 2016

Other

Other1st IEEE European Symposium on Security and Privacy, EURO S and P 2016
Country/TerritoryGermany
CitySaarbruecken
Period3/21/163/24/16

Keywords

  • Bitcoin
  • Selfish Mining

ASJC Scopus subject areas

  • Computer Networks and Communications

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