Standard

Defined in this standard is the general process of cryptocurrency payment between consumers and merchants. This process describes how a consumer purchases goods or services with cryptocurrency and how the merchant receives fiat money in return. It involves multiple aspects such as cryptocurrency payment operators playing an agent role, consumers owning cryptocurrency, merchant accessing to a cryptocurrency payment platform, banks, and cryptocurrency exchanges.

Described in this standard is the blockchain-based application reference architecture of e-invoice business, including roles of participants, typical business scenarios, platform frameworks, and security requirements.

A framework of a custodian service for cryptocurrency and token assets is defined in this standard. Custodian reference technical architecture, business logic description, custodian service business models, digital asset evaluation criteria, operational procedure models, and regulatory requirement support models are included in this framework.

This standard defines an extension framework based on IEEE 2140.1-2020. The extension framework uses a Smart Contract mechanism to process transactions on an exchange, to replace the role of exchange operators. This standard also defines a series of extensible interfaces for the exchange scenario, enabling support of third-party financial derivatives using tokens.

In this standard requirements are defined for multiple aspects of security management for customer cryptographic assets on cryptocurrency exchanges, such as user identification using multi-factor authentication, prioritized protection of customer assets under unforeseen circumstances, and professional ethics of operation for cryptocurrency exchange platforms.

Self-discipline and professional ethics of cryptocurrency exchange platforms, as well as relevance between them and to cryptocurrency wallets are covered in this standard. Exchange business logic, operational procedures, user authentication programs are also covered in this standard. In addition, a small but necessary technical category of requirements, including terminologies, basic architectural framework, key indicators, end-user interface specifications, in order to achieve the previously mentioned goals is covered in this standard.

Recommendation ITU-T X.1712 specifies security threats and security requirements for key management in quantum key distribution networks (QKDNs), and then it specifies security measures of key management to meet the security requirements. This Recommendation provides support for design, implementation, and operation of key management in QKDN with approved security.

The objective of this Recommendation is to provide guidance on security requirements for trusted nodes in QKD networks. This Recommendation will identify the security threats and provide security requirements of trusted node, as well as some implementation examples to meet the requirements.

This standard defines the Software-Defined Quantum Communication (SDQC) protocol that enables configuration of quantum endpoints in a communication network in order to dynamically create, modify, or remove quantum protocols or applications. This protocol resides at the application layer and communicates over Transmission Control Protocol/Internet Protocol. The protocol design facilitates future integration with Software-Defined Networking and Open Networking Foundation OpenFlow. The standard defines a set of quantum device configuration commands that control the transmission, reception, and operation of quantum states. These device commands contain parameters that describe quantum state preparation, measurement, and readout.

ITU-T Y.QKDN-qos-fa: "Functional architecture of QoS assurance for quantum key distribution networks"

ITU-T Y.QKDN_QoS_gen: "General aspects of QoS on the Quantum Key Distribution Network"

This recommendation specifies requirements of machine learning based QoS assurance for the quantum key distribution networks (QKDN). This recommendation first provides an overview of requirements of machine learning based QoS assurance for the QKDN. It describes a functional model of machine learning based QoS assurance and followed by associated high level and functional requirements of machine learning based QoS assurance.