Abstract
Techniques are described herein for using Machine Learning to detect anomalies that cannot be detected by programming or scripts. These anomalies must be discovered by prior issues that have been troubleshooted by classic network tools (e.g., debugs, show commands, packet capturing tools, etc.).
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Ghein, Luc De and Patil, Santosh, "MULTICAST ROUTING DIAGNOSTICS SYSTEM USING MACHINE LEARNING", Technical Disclosure Commons, (November 20, 2018)
https://www.tdcommons.org/dpubs_series/1688