Dear OPSAWG,

The Semantic Metadata Annotation for Network Anomaly Detection document was 
previously presented at IEPG and NMRG

https://datatracker.ietf.org/meeting/118/materials/slides-118-nmrg-semantic-metadata-annotation-for-network-anomaly-detection-01.pdf
https://youtu.be/zC-R_fWUUEA?si=oAvc66agikiZtilf&t=849

and has been updated. We added some more control plane symptoms based on 
network anomaly detection incident postmortems in the last 3 months and did 
some minor editorial changes.

Here the diff: 
https://author-tools.ietf.org/diff?url_1=https://www.ietf.org/archive/id/draft-netana-opsawg-nmrg-network-anomaly-semantics-01.txt&url_2=https://www.ietf.org/archive/id/draft-netana-nmop-network-anomaly-semantics-00.txt

We are looking forward to feedback and comments.

Best wishes
Thomas

-----Original Message-----
From: internet-dra...@ietf.org <internet-dra...@ietf.org> 
Sent: Sunday, January 21, 2024 7:39 AM
To: Alex Feng <alex.huang-f...@insa-lyon.fr>; Alex Huang Feng 
<alex.huang-f...@insa-lyon.fr>; Antonio Roberto <antonio.robe...@huawei.com>; 
Graf Thomas, INI-NET-VNC-HCS <thomas.g...@swisscom.com>; Vincenzo Riccobene 
<vincenzo.riccob...@huawei-partners.com>; Du Wanting, INI-NET-VNC-HCS 
<wanting...@swisscom.com>
Subject: New Version Notification for 
draft-netana-nmop-network-anomaly-semantics-00.txt


Be aware: This is an external email.



A new version of Internet-Draft
draft-netana-nmop-network-anomaly-semantics-00.txt has been successfully 
submitted by Thomas Graf and posted to the IETF repository.

Name:     draft-netana-nmop-network-anomaly-semantics
Revision: 00
Title:    Semantic Metadata Annotation for Network Anomaly Detection
Date:     2024-01-21
Group:    Individual Submission
Pages:    15
URL:      
https://www.ietf.org/archive/id/draft-netana-nmop-network-anomaly-semantics-00.txt
Status:   
https://datatracker.ietf.org/doc/draft-netana-nmop-network-anomaly-semantics/
HTMLized: 
https://datatracker.ietf.org/doc/html/draft-netana-nmop-network-anomaly-semantics


Abstract:

   This document explains why and how semantic metadata annotation helps
   to test, validate and compare outlier detection, supports supervised
   and semi-supervised machine learning development, enables data
   exchange among network operators, vendors and academia and make
   anomalies for humans apprehensible.  The proposed semantics uniforms
   the network anomaly data exchange between and among operators and
   vendors to improve their network outlier detection systems.



The IETF Secretariat


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