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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.