YeeZTech/YeeZ-Privacy-Computing：Fidelius - YeeZ Privacy Comput

项目介绍

YeeZTech/YeeZ-Privacy-Computing 是一个托管在 GitHub 上的开源项目，主要使用 C 编写，采用 GNU General Public License v3.0 许可证，目前获得 1.1k 个 Star、138 次 Fork。

仓库全名: YeeZTech/YeeZ-Privacy-Computing

README 摘要

Fidelius - 基于可信执行环境的熠智隐私计算中间件 English / 中文 Fidelius - YeeZ Privacy Computing Introduction Fidelius has launched an all-in-one privacy protection solution for data collaboration based on the idea of "data availability but not visible." This solution effectively ensures the consistency of original data, controllability of computing logic, correctness of computing results, and privacy protection. The following figure…

完整内容见 GitHub 原始 README 或本页。

常见问题

YeeZ-Privacy-Computing 用什么语言开发？

主要使用 C 编写，采用 GNU General Public License v3.0 许可证，目前有 1.1k 个 Star。

YeeZ-Privacy-Computing 可以免费商用吗？

仓库标注的许可证为 GNU General Public License v3.0，商用前请先阅读仓库 LICENSE 文件确认授权范围。

如何获取 YeeZ-Privacy-Computing 的源码？

可以直接克隆仓库：git clone https://github.com/YeeZTech/YeeZ-Privacy-Computing.git，默认分支为 master；安装与运行步骤见仓库 README。

YeeZ-Privacy-Computing 最近还在维护吗？

仓库最近一次更新为 9月2日，当前有 6 个未关闭 Issue；Star 数为 1.1k，可作为社区活跃度的参考。

关于

ai privacy-protection sgx sgx-enclave tee

GNU General Public License v3.0
1.1k Stars
138 Forks
51 Watching

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682

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语言占比

Assembly

C++

CMake

Java

JavaScript

Linker Script

Makefile

Python

Shell

贡献者

Fidelius - 基于可信执行环境的熠智隐私计算中间件

English / 中文

Fidelius - YeeZ Privacy Computing

Introduction

Fidelius has launched an all-in-one privacy protection solution for data collaboration based on the idea of “data availability but not visible.” This solution effectively ensures the consistency of original data, controllability of computing logic, correctness of computing results, and privacy protection.

The following figure describes the abstract process of data collaboration based on Fidelius. The participants include the data provider and the data user. Fidelius middleware runs on both the data provider and the data user, and the two parties interact with Fidelius to achieve data collaboration. The original data will not leave the Fidelius middleware of the data provider, fundamentally avoiding the problem of privacy data leakage.

drawing

In the figure, the trusted third party can choose to be a blockchain network. As the blockchain itself has characteristics such as a decentralized network and public verifiability, Fidelius can use it as a trusted transmission channel and data computing verification platform.

Documentation

Fidelius: YeeZ Privacy Protection for Data Collaboration - A Blockchain based Solution

Quick Start

Fidelius runs on Intel SGX and requires confirmation that the hardware environment is equipped with a supported central processing unit (CPU), BIOS settings, and the installation of drivers and related software. Even without the required hardware environment, the debug version can still run after installing the Intel SGX SDK.

Please refer to the documentation to compile and run Fidelius.

Advanced Use

License

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.

How to contribute

If you want to contribute to this project, feel free to create an issue at our Issue page (e.g., documentation, new idea and proposal).

This is an active open source project for everyone, and we are open to everyone who want to use this system or contribute to it.

Contributors

Made with contrib.rocks.

Community

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