Subject: [OPSAWG] New Liaison Statement, "LS on work progress on Quantum Key Distribution (QKD) network in SG13 (as of July 2021)"

From: Liaison Statement Management Tool <[email-masked]>
Date: Mon, 26 Jul 2021 13:37:18 -0700

Title: LS on work progress on Quantum Key Distribution (QKD) network in SG13 (as of July 2021)
Submission Date: 2021-07-26
URL of the IETF Web page: https://datatracker.ietf.org/liaison/1752/

From: shaba <[email-masked]>
To: Henk Birkholz <[email-masked]>,Joe Clarke <[email-masked]>,Tianran Zhou <[email-masked]>
Cc: Operations and Management Area Working Group Discussion List <[email-masked]>,Warren Kumari <[email-masked]>,Henk Birkholz <[email-masked]>,Robert Wilton <[email-masked]>,Joe Clarke <[email-masked]>,Scott Mansfield <[email-masked]>,Tianran Zhou <[email-masked]>
Response Contacts: [email-masked]
Technical Contacts: 
Purpose: For information

Body: ITU-T SG13 is pleased to inform you of our progress on Quantum Key Distribution (QKD) topics.

As we informed you, SG13 has published 5 Recommendations on QKDN as follows:
-	Recommendation ITU-T Y.3800 “Overview on networks supporting quantum key distribution”;
-	Recommendation ITU-T Y.3801 “Functional requirements for quantum key distribution networks”;   
-	Recommendation ITU-T Y.3802 “Quantum key distribution networks – Functional architecture”; 
-	Recommendation ITU-T Y.3803 “Quantum key distribution networks – Key management”;  
-	Recommendation ITU-T Y.3804 “Quantum key distribution networks - Control and management”.

In the SG13 RGM (virtual meeting, 5-16 July 2021), Q16/13 has made progress of the following work items.

1. The item agreed after the March 2021 SG13 meeting

The draft Supplement 70 to Y.3800-series was agreed. 
Supplement 70 to Y.3800-series (Y.supp.QKDN-mla) “Quantum Key Distribution Networks - Applications of Machine Learning” in TD597/WP3

For quantum key distribution networks (QKDN), the supplement presents the applications of machine learning (ML) in the quantum layer, the key management layer and the management and control layers of QKDN including the use case background, issue, role of ML in QKDN, use case analysis and, benefits and impact.

2. The item consented after the March 2021 SG13 meeting

The drat Recommendation ITU-T Y.3805 was consented. 
Draft Recommendation ITU-T Y.3805 (Y.QKDN_SDNC) “Quantum Key Distribution Networks - Software Defined Networking Control” in TD598/WP3
The Recommendation specifies the requirements, functional architecture, reference points, hierarchical SDN controller and overall operational procedures of SDN control.

3. Revised on-going work items

Draft Recommendation ITU-T Y.QKDN_BM “Quantum Key Distribution Networks - Business role-based models” in TD600/WP3 

Draft Recommendation ITU-T Y.QKDN_BM describes business roles, business role-based models, and service scenarios in Quantum Key Distribution Network (QKDN) from different deployment and operation perspectives with existing user networks for supporting secure communications in various application sectors.
This draft Recommendation can be used as a guideline for applying QKDN from business point of views as well as for deployment and operation of QKDN from telecom operators’ point of views.

Draft Recommendation ITU-T Y.QKDN_frint “Framework for integration of QKDN and secure network infrastructures” in TD601/WP3 
For quantum key distribution networks (QKDN), Recommendation ITU-T Y.QKDN_frint specifies overview of secure storage networks (SSNs). It also specifies functional requirements, functional architecture model, reference points and operational procedures phase-in scenarios for SSNs.

Y.QKDN-BM and Y.QKDN-frint are candidates for consent at the December 2021 SG13 meeting.

4.New work items agreed at the July 2021 SG13 RGM

Draft Recommendation ITU-T Y.QKDN-iwfr “Quantum key distribution networks - interworking framework” in TD604/WP3
This Recommendation specifies a framework for interworking QKDNs. 

Draft Recommendation ITU-T Y.QKDN-ml-fra “Quantum key distribution networks - Functional requirements and architecture for machine learning” in TD607/WP3
QKDN is expected to be able to maintain the stable operation and meet various cryptographic application requirements in an efficient way. Due to the advantages of machine learning (ML) related to automatic learning, ML can help to overcome the challenges of QKDN in terms of quantum layer performance, key management layer performance and QKDN control and management efficiency. Based on the functional requirements and architecture of QKDN in [ITU-T Y.3801] and [ITU-T Y.3802], this recommendation is to specify the overview, functional requirements, and functional architecture model of ML in QKDN.

Draft Recommendation ITU-T Y.QKDN-rsfr “Quantum key distribution networks - resilience framework” in TD608/WP3
Resilience is necessary to be introduced into QKDN to guarantee stable running of QKDN and the continuous key supply. Based on the functional requirements of QKDN in [ITU-T Y.3801] and functional architecture of QKDN in [ITU-T Y.3802], this recommendation is to specify the framework of resilience in QKDN including typical scenarios of resilience as well as requirements of resilience supported in quantum layer, key management layer, and control and management layer, respectively.

QKDN resilience use cases considered in this recommendation include network resources reservation, network resources recovery and alternative schemes such as re-routing.

Draft Supplement ITU-T Y.supp.QKDN-roadmap “Standardization roadmap on Quantum Key Distribution Networks” in TD609/WP3
This supplement presents a comprehensive list of activities (work items) within the ITU-T associated with QKDN.  The scope of the list includes both study groups and focus groups.  The list will reflect the status of the work item, as well as the date of approval.

This document will be updated periodically.

5. Conclusion
SG13 will study the network aspects of QKD. Q16/13 looks forward to close cooperation with ITU-T SG2, SG11, SG15, SG17, ETSI ISG-QKD, ISO/IEC JTC1/SC27, AG4, IETF/IRTF, and relevant groups for future standardization on QKD networks. 

Attachments:
1)	The Supplement 70 to Y.3800 series (Y.supp.QKDN-mla) (TD597/WP3), Quantum Key Distribution Networks - Applications of Machine Learning;
2)	The draft Recommendation ITU-T Y.3805 (Y.QKDN_SDNC) (TD598/WP3), Quantum Key Distribution Networks - Software Defined Networking Control;
3)	The updated draft Recommendation ITU-T Y.QKDN_BM (TD600/WP3), Quantum Key Distribution Networks - Business role-based models; 
4)	The updated draft Recommendation ITU-T Y.QKDN_frint (TD601/WP3), Framework for integration of QKDN and secure network infrastructures; 
5)	The initial draft Recommendation ITU-T Y.QKDN-iwfr (TD604/WP3), Quantum key distribution networks - interworking framework;
6)	The initial draft Recommendation ITU-T Y.QKDN-ml-fra (TD607/WP3), Quantum key distribution networks - Functional requirements and architecture for machine learning;
7)	The initial draft Recommendation ITU-T Y.QKDN-rsfr (TD608/WP3), Quantum key distribution networks - resilience framework;
8)	The initial draft Supplement ITU-T Y.supp.QKDN-roadmap (TD609/WP3), Standardization roadmap on Quantum Key Distribution Networks.
Attachments:

    SG13-LS213_att8
    https://www.ietf.org/lib/dt/documents/LIAISON/liaison-2021-07-26-itu-t-sg-13-opsawg-ls-on-work-progress-on-quantum-key-distribution-qkd-network-in-sg13-as-of-july-2021-attachment-1.pdf

    SG13-LS213_att6
    https://www.ietf.org/lib/dt/documents/LIAISON/liaison-2021-07-26-itu-t-sg-13-opsawg-ls-on-work-progress-on-quantum-key-distribution-qkd-network-in-sg13-as-of-july-2021-attachment-2.pdf

    SG13-LS213_att6
    https://www.ietf.org/lib/dt/documents/LIAISON/liaison-2021-07-26-itu-t-sg-13-opsawg-ls-on-work-progress-on-quantum-key-distribution-qkd-network-in-sg13-as-of-july-2021-attachment-3.pdf

    SG13-LS213_att4
    https://www.ietf.org/lib/dt/documents/LIAISON/liaison-2021-07-26-itu-t-sg-13-opsawg-ls-on-work-progress-on-quantum-key-distribution-qkd-network-in-sg13-as-of-july-2021-attachment-4.pdf

    SG13-LS213_att4
    https://www.ietf.org/lib/dt/documents/LIAISON/liaison-2021-07-26-itu-t-sg-13-opsawg-ls-on-work-progress-on-quantum-key-distribution-qkd-network-in-sg13-as-of-july-2021-attachment-5.pdf

    SG13-LS213_att3
    https://www.ietf.org/lib/dt/documents/LIAISON/liaison-2021-07-26-itu-t-sg-13-opsawg-ls-on-work-progress-on-quantum-key-distribution-qkd-network-in-sg13-as-of-july-2021-attachment-6.pdf

    SG13-LS213_att2
    https://www.ietf.org/lib/dt/documents/LIAISON/liaison-2021-07-26-itu-t-sg-13-opsawg-ls-on-work-progress-on-quantum-key-distribution-qkd-network-in-sg13-as-of-july-2021-attachment-7.pdf

    SG13-LS213_att1
    https://www.ietf.org/lib/dt/documents/LIAISON/liaison-2021-07-26-itu-t-sg-13-opsawg-ls-on-work-progress-on-quantum-key-distribution-qkd-network-in-sg13-as-of-july-2021-attachment-8.pdf

    SG13-LS213
    https://www.ietf.org/lib/dt/documents/LIAISON/liaison-2021-07-26-itu-t-sg-13-opsawg-ls-on-work-progress-on-quantum-key-distribution-qkd-network-in-sg13-as-of-july-2021-attachment-9.docx