INTELLIGENT INTENT-RECOMMENDER IN INTENT-BASED NETWORKING (IBN) USING UNKNOWN TRAFFIC IDENTIFICATION
Abstract
An intent recommendation system for an Intent-Based Networking (IBN) system classifies unknown traffic in a network environment using machine learning. The intent recommendation system provides a network administrator with full visibility of their network traffic so they can properly define their intent for network traffic flows within a traditional IBN model. Based on the categorization of unknown network traffic the intent recommendation system provides recommendations for how the network administrator should define their intents for each unknown network flow. The network administrator may choose whether or not to follow the intent recommendation for each unknown network traffic flow. A feedback loop incorporates the decision of the network administrator to validate and improve the suggested intents for each unknown network traffic flow cluster.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Chour, Claire Y.; Jung, Doosan; Shao, Qihong; and Zacks, Dave, "INTELLIGENT INTENT-RECOMMENDER IN INTENT-BASED NETWORKING (IBN) USING UNKNOWN TRAFFIC IDENTIFICATION", Technical Disclosure Commons, (April 28, 2023)
https://www.tdcommons.org/dpubs_series/5853