SLR_NetworkTrafficClassification

Results of SLR (May 2019)

This repository contains the results of a Systematic Literature Review of Data Mining and Machine Learning Methods for Network Traffic Classification. By: Miguel Garzon, Amir Razavi and Bijan Raahemi.

1. SLR_TrafficModel_allDATA.xlsx: Excel file with all 296 references, tables and reports generated by DistillerSR.
2. SLR_QualityAssessment.pdf: Document containing the quality assessment results of the SLR.
3. AllFeatures_SLR.docx: Contains all features extracted from the 296 primary studies.
4. AllFuture Direction, Limitations and Challenges of Papers.docx: Contains all research directions, limitation and challenges extracted from the 296 primary studies.