Data-Driven Model-Based Analysis of the Ethereum Verifier's Dilemma
- Submitting institution
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University of Newcastle upon Tyne
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 270890-63778-1292
- Type
- E - Conference contribution
- DOI
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10.1109/DSN48063.2020.00038
- Title of conference / published proceedings
- 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2020)
- First page
- 209
- Volume
- -
- Issue
- -
- ISSN
- 1530-0889
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2020
- URL
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https://doi.org/10.1109/DSN48063.2020.00038
- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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3
- Research group(s)
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E - Secure and Resilient Systems
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The Verifier's Dilemma in permissionless blockchains has been recognized as an "important problem" (Prof E.Felten, Princeton, former Deputy CTO at US White House, https://medium.com/offchainlabs/how-not-to-solve-the-verifiers-dilemma-e5fb1af49661). This paper demonstrates that if the number of transactions per block keeps growing (as expected for Ethereum) it is increasingly attractive for miners not to verify. The paper – published in the premier conference (DSN) in dependability - sets itself apart through carefully combining rigorous techniques from modelling (discrete-event simulation), data collection and machine learning (Gaussian Mixture Models and Regression). It provided a core contribution to the 2020 SPEC Kaivalya Dixit Distinguished Dissertation Award (https://research.spec.org/awards/past-winners.html).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -