IEEE P3829

New IEEE Standard - Active - Draft.
This standard specifies a framework for privacy-preserving algorithm trading platform based on distributed ledger technology, including overview architecture, roles of participating entities and workflows. This standard is aimed to provide a general guidance for companies and organizations planning to build privacy-preserving algorithm trading platforms based on distributed ledger technology.

This standard defines a blockchain-based privacy-preserving trading framework in the digital finance field. The framework describes efficient, secure, and privacy-preserving computing algorithms for trading. This standard defines a terminology, technical requirements, an algorithmic trading mechanism, and the roles and functions of algorithm providers, algorithm users, and trading platforms. The standard outlines a privacy-preserving algorithmic trading framework through a reference model.
Data privacy is often a primary concern for data owners, making privacy-preserving algorithms essential for enabling secure data sharing and processing. This project aims to foster the development and use of such algorithms by creating a standardized framework for an algorithm exchange platform. The purpose is to encourage the broader supply of privacy-focused algorithms while promoting their standardized and ethical application in various data-driven processes.