SNIC
SUPR
SNIC SUPR
Tuning of Machine-learning models for network flow classification
Dnr:

SNIC 2017/2-39

Type:

SNAC Small

Principal Investigator:

Johan Garcia

Affiliation:

Karlstads universitet

Start Date:

2018-01-01

End Date:

2019-01-01

Primary Classification:

10299: Other Computer and Information Science

Webpage:

Allocation

Abstract

New traffic classification approaches are necessary to complement traditional DPI-based flow classification. This project examines the ability to use DPI-labeled ground truth data to build ML models that can then work using only flow-characteristic features rather than packet content to perform the classification.