Confidential Consortium Framework

The Confidential Consortium Framework (CCF) is a free and open source blockchain infrastructure framework developed by Microsoft.[2][3] Originally called Coco Framework, it was designed for building secure high-performance and high-availability applications that have a focus on multi-party compute and data.[4] The framework is used for developing distributed ledgers that can execute transactions with throughput and latency similar to those of a centralized database.

Confidential Consortium Framework (CCF)
Original author(s)Microsoft Research & Microsoft Azure Engineering[1]
Developer(s)Microsoft and community
Initial release2019 (2019)
Stable release
ccf-0.14.2 / October 22, 2020 (2020-10-22)
Repositorygithub.com/microsoft/CCF
Written inC++, Python
Operating systemLinux
PlatformCross-platform
TypeBlockchain infrastructure framework
LicenseApache 2.0 License
Websitemicrosoft.github.io/CCF/

Overview

The multi-party computation framework is based on the Ethereum communication protocol and allows large organizations to operate on the Ethereum blockchain.[5] Apart from using decentralized systems concepts and cryptography, it is based on trusted execution environments (TTEs)[6] such as Intel Software Guard Extensions (SGX) and the Virtual Secure Mode (VSM) of Windows 10 Device Guard.[4][2]

Notable features include throughput and latency approaching database speeds, flexible confidentiality models, as well as network and service policy management through non-centralized governance.[4] The framework uses simplified proof of work and proof of stake algorithms.[2]

The Confidential Consortium Framework was presented at FOSDEM 2020 in Brussels, Belgium.[7] The CCF source code is licensed under Apache 2.0 License and available on GitHub.[8] It runs on Linux and, according to Microsoft, it is primarily developed and tested on Ubuntu 18.04.[9]

See also

References

Further reading


This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.