Evading botnet detectors based on flows and Random Forest with adversarial samples

Referenz

Apruzzese, G., & Colajanni, M. (2018). Evading botnet detectors based on flows and Random Forest with adversarial samples. Paper presented at the 2018 IEEE 17th International Symposium on Network Computing and Applications (NCA), Cambridge, MA, USA.

Publikationsart

Beitrag in Konferenztagungsband

Mitarbeiter

• Dr. Giovanni Apruzzese

Einrichtungen

• Institut für Wirtschaftsinformatik
• Hilti Lehrstuhl für Daten- und Anwendungssicherheit

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DOI