Semantic Metadata Annotation for Network Anomaly Detection
draft-netana-opsawg-nmrg-network-anomaly-semantics-01
| Document | Type |
Replaced Internet-Draft
(individual)
Expired & archived
|
|
|---|---|---|---|
| Authors | Thomas Graf , Wanting Du , Alex Huang Feng , Vincenzo Riccobene , Antonio Roberto | ||
| Last updated | 2023-11-05 | ||
| Replaced by | draft-netana-nmop-network-anomaly-semantics | ||
| RFC stream | (None) | ||
| Intended RFC status | (None) | ||
| Formats | |||
| Stream | Stream state | (No stream defined) | |
| Consensus boilerplate | Unknown | ||
| RFC Editor Note | (None) | ||
| IESG | IESG state | Replaced by draft-netana-nmop-network-anomaly-semantics | |
| Telechat date | (None) | ||
| Responsible AD | (None) | ||
| Send notices to | (None) |
This Internet-Draft is no longer active. A copy of the expired Internet-Draft is available in these formats:
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.
Authors
Thomas Graf
Wanting Du
Alex Huang Feng
Vincenzo Riccobene
Antonio Roberto
(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)