YANG Data Models for Attacks Intelligent Detection
draft-wang-i2nsf-intelligent-detection-01
Document | Type |
Expired Internet-Draft
(individual)
Expired & archived
|
|
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Authors | Weilin Wang , Hua-chun Zhou , Man Li , Qi Guo , Shuangxing Deng | ||
Last updated | 2023-09-28 (Latest revision 2023-03-27) | ||
RFC stream | (None) | ||
Intended RFC status | (None) | ||
Formats | |||
Yang Validation | 9 errors, 0 warnings | ||
Stream | Stream state | (No stream defined) | |
Consensus boilerplate | Unknown | ||
RFC Editor Note | (None) | ||
IESG | IESG state | Expired | |
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This Internet-Draft is no longer active.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 describes how to extend the Interface to Network Security Function (I2NSF) framework to make it suitable for attacks intelligent detection. Intelligent detection means that the network can dynamically adjust detection policies based on resource status, traffic features, or detection results. This document describes the application of I2NSF Framework for Security Management Automation (SMA) for attacks intelligent detection in Software-Defined Networking (SDN) and Service Function Chaining (SFC) environment. This document will extend the YANG data model of Monitoring Interface, Analytics Interface and NSF-Facing Interface in I2NSF for SMA framework to make it suitable for attacks intelligent detection in SDN and SFC environments.
Authors
Weilin Wang
Hua-chun Zhou
Man Li
Qi Guo
Shuangxing Deng
(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)