Detail publikačního výsledku

Selfish Mining in Multi-attacker Scenarios: An Empirical Evaluation of Nakamoto, Fruitchain, and Strongchain

PEREŠÍNI, M.; HLADKÝ, T.; KUBÍK, J.; HOMOLIAK, I.

Originální název

Selfish Mining in Multi-attacker Scenarios: An Empirical Evaluation of Nakamoto, Fruitchain, and Strongchain

Anglický název

Selfish Mining in Multi-attacker Scenarios: An Empirical Evaluation of Nakamoto, Fruitchain, and Strongchain

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

The aim of this work is to enhance blockchain security by deepening the understanding of selfish mining attacks in various consensus protocols, especially the ones that have the potential to mitigate selfish mining. Previous research was mainly focused on a particular pro-tocol with a single selfish miner, while only limited studies have been conducted on two or more attackers. To address this gap, we proposed a stochastic simulation framework that enables analysis of selfish mining with multiple attackers across various consensus protocols. We cre-ated the model of Proof-of-Work (PoW) Nakamoto consensus (serving as the baseline) as well as models of two additional consensus protocols designed to mitigate selfish mining: Fruitchain and Strongchain. Using our framework, thresholds reported in the literature were verified, and several novel thresholds were discovered for 2 and more attackers. We made the source code of our framework available, enabling researchers to evaluate any newly added protocol with one or more selfish miners and cross-compare it with already modeled protocols.

Anglický abstrakt

The aim of this work is to enhance blockchain security by deepening the understanding of selfish mining attacks in various consensus protocols, especially the ones that have the potential to mitigate selfish mining. Previous research was mainly focused on a particular pro-tocol with a single selfish miner, while only limited studies have been conducted on two or more attackers. To address this gap, we proposed a stochastic simulation framework that enables analysis of selfish mining with multiple attackers across various consensus protocols. We cre-ated the model of Proof-of-Work (PoW) Nakamoto consensus (serving as the baseline) as well as models of two additional consensus protocols designed to mitigate selfish mining: Fruitchain and Strongchain. Using our framework, thresholds reported in the literature were verified, and several novel thresholds were discovered for 2 and more attackers. We made the source code of our framework available, enabling researchers to evaluate any newly added protocol with one or more selfish miners and cross-compare it with already modeled protocols.

Klíčová slova

selfish mining, blockchain, consensus protocols, simulation, proof-of-work

Klíčová slova v angličtině

selfish mining, blockchain, consensus protocols, simulation, proof-of-work

Autoři

PEREŠÍNI, M.; HLADKÝ, T.; KUBÍK, J.; HOMOLIAK, I.

Vydáno

01.01.2026

Nakladatel

Springer

Místo

Toulouse, France

ISBN

978-3-032-16089-8

Kniha

Computer Security. ESORICS 2025 International Workshops.

Strany od

328

Strany do

343

Strany počet

15

URL

https://link.springer.com/chapter/10.1007/978-3-032-16089-8_21#citeas

BibTex

@inproceedings{BUT211657,
  author="Martin {Perešíni} and Ivan {Homoliak} and Tomáš {Hladký} and Ján {Kubík}",
  title="Selfish Mining in Multi-attacker Scenarios: An Empirical Evaluation of Nakamoto, Fruitchain, and Strongchain",
  booktitle="Computer Security. ESORICS 2025 International Workshops.",
  year="2026",
  pages="15",
  publisher="Springer",
  address="Toulouse, France",
  doi="10.1007/978-3-032-16089-8\{_}21",
  isbn="978-3-032-16089-8",
  url="https://link.springer.com/chapter/10.1007/978-3-032-16089-8_21#citeas"
}