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Cited by 1,646

The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.

On the Security and Performance of Proof of Work Blockchains

Open access
Gervais, Arthur, Karame, Ghassan O., Wüst, Karl, Glykantzis, Vasileios, Ritzdorf, Hubert, Capkun, Srdjan·2016·Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security

Abstract

Proof of Work (PoW) powered blockchains currently account for more than 90% of the total market capitalization of existing digital cryptocurrencies. Although the security provisions of Bitcoin have been thoroughly analysed, the security guarantees of variant (forked) PoW blockchains (which were instantiated with different parameters) have not received much attention in the literature. This opens the question whether existing security analysis of Bitcoin's PoW applies to other implementations which have been instantiated with different consensus and/or network parameters.

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Crossref · 10.1145/2976749.2978341

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Metadata

Authors
Gervais, A., Karame, G. O., Wüst, K., Glykantzis, V., Ritzdorf, H., & Capkun, S.
Venue
Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security
Publisher
ACM
Published
2016-10-24
Pages
3-16
OpenAlex
W2536325433
Cited by
1,646
References
16
FWCI
109.12
Type
conference paper
Language
en
Open access
green

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CoChat. (2026). Citation check: On the Security and Performance of Proof of Work Blockchains. https://app.cochat.ai/papers/10.1145/2976749.2978341
The paper
Gervais, A., Karame, G. O., Wüst, K., Glykantzis, V., Ritzdorf, H., & Capkun, S. (2016). On the Security and Performance of Proof of Work Blockchains. Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security. https://doi.org/10.1145/2976749.2978341

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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.