YPC
0.2.0
|
English / 中文
In order to empower data collaboration between enterprises and help enterprises use data to enhance their core competitiveness, we launched Fidelius, a privacy protection solution for data collaboration. Fidelius is based on the idea of "data is available but not visible", while effectively ensuring the consistency of the original data, the controllability of the calculation logic, the correctness and privacy of the calculation results.
The following figure describes the abstract flow of data collaboration based on Fidelius. Similar to the traditional data collaboration model, the participants include data providers and data consumers. Fidelius runs on both sides of data provider and data consumer, and the two parties interact with Fidelius to realize data collaboration operation. There is no direct data interaction between the data provider and the data consumer, and the raw/plaintext data will not leave the data provider, which fundamentally avoids the problem of private data leakage.
It is worth noting that, compared to the traditional data collaboration model, Fidelius has introduced blockchain. Because blockchain itself has the characteristics of a decentralized network, public and verifiable, Fidelius uses it as a trusted transmission channel and data calculation verification platform.
NOTE: This is a community version. Although it shares similar components with our enterprise version, it has different features. Please contact contact@yeez.tech
for more details about the enterprise version.
NOTE: To compile release version, the developer should set SGX_MODE=Release
andSGX_HW=ON
.
Please refer to INSTALL.md.
The YeeZ-Privacy-Computing
library (i.e. all code outside of the toolkit
directory) is licensed under the Apache License 2.0, also included in our repository in the COPYING.APACHE
file.
The YeeZ-Privacy-Computing
binaries (i.e. all code inside of the toolkit
directory) is licensed under the GNU General Public License v3.0, also included in our repository in the COPYING
file.