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https://github.com/OpenCryptoProject/Myst
Secure Multiparty Key Generation, Signature and Decryption javacard applet
https://github.com/OpenCryptoProject/Myst
decryption elgamal javacard multiparty-computation schnorr signature
Last synced: 18 days ago
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Secure Multiparty Key Generation, Signature and Decryption javacard applet
- Host: GitHub
- URL: https://github.com/OpenCryptoProject/Myst
- Owner: OpenCryptoProject
- License: mit
- Created: 2017-08-12T12:03:42.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2020-09-06T10:36:06.000Z (about 4 years ago)
- Last Synced: 2024-08-01T01:28:51.134Z (4 months ago)
- Topics: decryption, elgamal, javacard, multiparty-computation, schnorr, signature
- Language: Java
- Homepage: https://BackdoorTolerance.org/
- Size: 7.82 MB
- Stars: 33
- Watchers: 11
- Forks: 9
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-smart-card - Myst
README
# Myst
## Secure Multiparty Key Generation, Signature and Decryption JavaCard applet and host application
Cryptographic Hardware from Untrusted ComponentsThis project implements novel distributed key generation, signature, and decryption with private key distributed among multiple separate entities.
The research paper and other details are available at https://backdoortolerance.org/
This project is technology demonstrator and requires one or more smartcards with JavaCard platform with remaining players contributing to the protocols simulated in software.
## Academic Paper
If you want get into the math and the technical details, you can find our paper here: https://arxiv.org/pdf/1709.03817.pdf
If you want to cite this work:
```
@inproceedings{mavroudis2017touch,
title={A touch of evil: High-assurance cryptographic hardware from untrusted components},
author={Mavroudis, Vasilios and Cerulli, Andrea and Svenda, Petr and Cvrcek, Dan and Klinec, Dusan and Danezis, George},
booktitle={Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security},
pages={1583--1600},
year={2017},
organization={ACM}
}
```
This work was supported by the European Commission through the H2020-DS-2014-653497 PANORAMIX project and the European Research Council via the European Union’s Seventh Framework Programme (FP/2007-2013) / ERC Grant Agreement n. 307937, and the Czech Science Foundation under project GA16-08565S.