Using Secure Multi-Party Computation to Protect Privacy on a Permissioned Blockchain.

Zhou J, Feng Y, Wang Z, Guo D

DOI: 10.3390/s21041540
Published: 2021 Feb 23
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

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Cite this work

BibTeX

@article{allodium:10.3390/s21041540,
  title = {Using Secure Multi-Party Computation to Protect Privacy on a Permissioned Blockchain.},
  author = {Zhou J and Feng Y and Wang Z and Guo D},
  year = {2021},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s21041540},
  url = {https://doi.org/10.3390/s21041540}
}

RIS

TY  - JOUR
TI  - Using Secure Multi-Party Computation to Protect Privacy on a Permissioned Blockchain.
AU  - Zhou J
AU  - Feng Y
AU  - Wang Z
AU  - Guo D
PY  - 2021
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s21041540
UR  - https://doi.org/10.3390/s21041540
ER  -

APA

J, Z., Y, F., Z, W., & D, G. (2021). Using Secure Multi-Party Computation to Protect Privacy on a Permissioned Blockchain.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s21041540

Source records

pubmed · retrieved 2026-09-26T12:15:22.985Z