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Cited by 24Blockchain Technology Applications and SecurityCryptography and Data SecurityBlockchain Technology in Education and Learning

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Analysis of Blockchain Selfish Mining Attacks

Kędziora, Michal, Kozłowski, Patryk, Szczepanik, Michał, Jóźwiak, Piotr·2020·Advances in Intelligent Systems and Computing

Overview

Integrity signals

Registry

Crossref · 10.1007/978-3-030-30440-9_22

Cites

13 of 13 references verified0 citation errors · 0 not checkable

Statistics

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Verification

Claims the paper makes

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Claims other papers make about this one

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Citations

Cites

Show all 12 references

Research works printed but not linked: 1

  1. Kozlowski, P., Kedziora, M., Marianski, A., Jozwiak, I.: Implementation of Research on the Feasibility of a Sybil Attacks in Blockchain Networks, ICSAI 2019 – in review (2019)

Cited by

See all 24

Metadata

Authors
Kędziora, M., Kozłowski, P., Szczepanik, M., & Jóźwiak, P.
Affiliations
Wrocław University of Science and Technology (PL)
Venue
Advances in Intelligent Systems and Computing
Published
2019-09-05
Pages
231-240
ISSN
  • 2194-5357 (ISSN-L)
  • 2194-5365
OpenAlex
W2972132048
Cited by
24
References
12
Citations by year
2026: 1 · 2025: 3 · 2024: 4 · 2023: 3 · 2022: 6 · 2021: 3 · 2020: 4
FWCI
2.55
Type
conference paper
Language
en
Open access
closed
Licence
www.springer.com/tdm (tdm)
Locations
Advances in intelligent systems and computing (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
  • Physical Sciences › Computer Science › Computer Networks and Communications › Cryptography and Data Security
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
Keywords
selfish mining, blockchain attacks, proof-of-work, cryptocurrency mining

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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This page
CoChat. (2026). Citation check: Analysis of Blockchain Selfish Mining Attacks. https://app.cochat.ai/papers/10.1007/978-3-030-30440-9_22
The paper
Kędziora, M., Kozłowski, P., Szczepanik, M., & Jóźwiak, P. (2020). Analysis of Blockchain Selfish Mining Attacks. Advances in Intelligent Systems and Computing. https://doi.org/10.1007/978-3-030-30440-9_22

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.