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X.1712 (Security requirements and measures for QKD networks - key management)

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.

X.1712 (Recommendation)

ITU-T Y.3804

To realize secure, stable, efficient, and robust operations of and services by a quantum key distribution (QKD) network as well as to manage a QKD network (QKDN) as a whole and support user network management, Recommendation ITU-T Y.3804 specifies functions and procedures for QKDN control and management based on the requirements specified in Recommendation ITU-T Y.3801.

Y.3804 (Recommendation)

ITU-T Y.3800

Recommendation ITU-T Y.3800 specifies an overview on networks supporting quantum key distribution (QKD).

This Recommendation aims to provide support for design, deployment, operation and maintenance to implement QKD networks (QKDNs) in terms of standardized technologies.

The relevant network aspects for conceptual structure, layered model and basic functions are within the scope of the Recommendation to support its implementation.

Y.3800 (Recommendation)

Security considerations for quantum key distribution networks

This Technical Report provides security considerations for quantum key distribution (QKD) network. It describes the following:

  • Introduction to the QKD network (QKDN);
  • Security considerations in communications between the QKD systems and (cryptographic) applications;
  • Security considerations in communications between QKD systems and management (and monitoring) systems; and
  • Standardization issues and suggestions for future works.
XSTR-SEC-QKD (Technical Report)

ITU-T X.1710

Recommendation ITU-T X.1710 specifies a framework including requirements and measures to combat security threats for quantum key distribution networks (QKDNs).

It specifies a simplified QKDN structure for analysis of the relevant security threats. Security requirements and corresponding security measures are then specified on that basis.

X.1710 (Recommendation)

Requirements for machine learning– based quality of service assurance for the IMT -2020 Network

Recommendation ITU-T Y.3170 specifies requirements for machine learning-based quality of service (QoS) assurance for the International Mobile Telecommunications 2020 (IMT-2020) network.

Recommendation ITU-T Y.3170 first provides an overview of machine learning-based QoS assurance for the IMT‑2020 network. Recommendation ITU-T Y.3170 includes an overview of capabilities for QoS anomaly detection and prediction using machine learning. Recommendation ITU-T Y.3170 then describes a functional model of machine learning-based QoS assurance that includes functional components such as QoS data collection; data pre-processing; data storage, modelling and training; QoS anomaly detection and prediction; QoS policy decision making; enforcement; and reporting. Based on the capabilities and functionalities described in the functional model, Recommendation ITU-T Y.3170 specifies high-level requirements and functional requirements for machine learning-based QoS assurance for the IMT-2020 network.

ITU-TY.3170

Effect for global ICT of the potential of selling Services instead of Equipment on the waste creation and environmental impacts”

Recommendation ITU-T L.1031 describes a three-step approach to address the e-waste reduction target of the Connect 2020 Agenda. These steps consist of guidance on developing an e-waste inventory, approaches to design e-waste prevention and reduction programs, and the supportive measures required for successfully implementing the Connect 2020 e-waste target.

This Recommendation is intended to be utilized by relevant stakeholders to take their first step in addressing Target 3.2 of the Connect 2020 Agenda that is to reduce waste by 50% by 2020.

ITU-T L.1031