jbhong / ids_benchmarking

Benchmarking IDS Systems Overview This repository contains the necessary code and datasets for the research paper on benchmarking Intrusion Detection Systems (IDS). It includes various datasets and scripts to process and analyze the performance of different IDS systems.

Datasets The datasets included in this study are: BoT_IoT CICIDS2017 CTU ToN_IoT UNSW These datasets are used to evaluate the effectiveness of the IDS systems.

IDS Systems The IDS systems evaluated in this research are: Kitsune HELAD Stratosphere SDN Modifications were made to Kitsune and HELAD to ensure that they output CSV files with the Root Mean Square Error (RMSE) scores.

File Structure /Archive: Contains working and older versions of code /BoT_IoT: Contains the BoT_IoT related processing scripts. /CICIDS2017: Contains the CICIDS2017 related processing scripts. /CTU: Contains the CTU related processing scripts. /EditedHELAD: Contains the HELAD IDS edited to output the RMSE output. /EditedKitsune: Contains the Kitsune IDS edited to output the RMSE output. /ResultsScripts: Contains the scripts used to process the results. /Straosphere: Contains the BOTIOT assets for Straosphere. /ToN_IoT: Contains the ToN_IoT related processing scripts. /UNSW: Contains the UNSW related processing scripts. /kitsune_to_sdn.py: Script to adapt Kitsune output for SDN environments. /stratosphere_processing.ipynb: Jupyter notebook for processing data for Straosphere.