Vol. 6 No 1 (2020): Actes de Botconf 2020
Conference proceedings

An Overview of the Botnet Simulation Framework

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  • Leon Böck,
  • Shankar Karuppayah,
  • Max Mühlhäuser,
  • Emmanouil Vasilomanolakis
Leon Böck
Technische Universität Darmstadt
Shankar Karuppayah
Technische Universität Darmstadt
Biographie
Max Mühlhäuser
Technische Universität Darmstadt
Biographie
Emmanouil Vasilomanolakis
Aalborg University, Copenhagen
Biographie

Publiée 2020-12-06

Mots-clés

  • Botnets,
  • P2P Botnet,
  • Simulation,
  • Dataset generation

(c) Copyright Leon Böck, Shankar Karuppayah, Max Mühlhäuser, Emmanouil Vasilomanolakis (Author) 2020

Creative Commons License

Ce travail est disponible sous la licence Creative Commons Attribution 4.0 International .

Comment citer

Böck, L., Karuppayah, S., Mühlhäuser, M., & Vasilomanolakis, E. (2020). An Overview of the Botnet Simulation Framework. Le Journal De La Cybercriminalité Et Des Investigations Numériques, 6(1), 1-10. https://doi.org/10.18464/cybin.v6i1.25

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Résumé

Conducting research on botnets is oftentimes limited to the analysis of active botnets. This prevents researchers from testing detection and tracking mechanisms on potential future threats. Specifically, in the domain of P2P botnets, the protocol specifics, network churn and anti-tracking mechanisms greatly impact the success or failure of monitoring operations.

Moreover, experiments on real world botnets, commonly lack ground truth to verify the findings. As developing and deploying botnets of sufficient size is accompanied by large costs and administration efforts, this paper attempts to address this issue by introducing a simulation framework for P2P botnets called Botnet Simulation Framework (BSF). BSF can simulate monitoring operations in botnets of more than 20.000 bots to evaluate tracking mechanisms or simulate takedown efforts. Moreover, communication traces can be exported to inject traffic into arbitrary PCAP files for training and evaluation of intrusion detection systems.

 

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