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Urheberrecht: © Lehr- und Forschungsgebiet Informatik IT-Sicherheit, RWTH Aachen

Person

Arthur Drichel

M.Sc.

Lehr- und Forschungsgebiet IT-Sicherheit

Adresse

Gebäude: UMIC Research Centre (2165)

Raum: 210

Mies-van-der-Rohe-Str. 15

52074 Aachen

Kontakt

WorkPhone

Telefon: +49 241 80 20785

E-Mail: drichel@itsec.rwth-aachen.de

Forschungsbereich

• Intrusion Detection Systems
• Privacy Enhancing Technologies
• Machine Learning

Lehre

• SS23: Proseminar: Selected Basic Topics in Cryptography and IT-Security
• WS22/23: Seminar: Advances in Cryptography and IT-Security
• WS22/23: Seminar: Selected Topics in Cryptography and IT-Security
• SS22: Datenkommunikation und Sicherheit
• WS20/21: Seminar (Bachelor): Advances in Cryptography and IT-Security
• WS20/21: Seminar (Bachelor): Selected Topics in Cryptography and IT-Security
• SS20: Security Lab Seminar (Master)
• SS19: Datenkommunikation und Sicherheit

Abschlussarbeiten

• Laufende Arbeiten:
  • Tsetlin machines for interpretable contextless DGA classification and automatic rule extraction (MA)
  • Privacy-Preserving Context-Aware Classification-as-a-Service for DGA Detection in Operational Environments (MA)
• Abgeschlossene Arbeiten:
  • 2023, Benedikt Edler von Querfurth, Comparing novel Deep Learning architectures for DGA classification (BA)
  • 2023, Marc Tobias Meyer, Analyzing the Robustness and Hardening Process of Bias-Free DGA Classifiers (BA)
  • 2023, Nils Henrik Beyer, Performant, machine-learning based Classification-as-a-Service for DGA Detection (BA)
  • 2022, Malte Reddig, Malicious Network Traffic Analysis on Smartphone Applications (MA)
  • 2022, Oliver Wardas, Explainability Analysis of Deep Learning based DGA Classifiers (MA)
  • 2022, Yánico Aust, Implementing Classification-as-a-Service for DGA Detection (BA)
  • 2022, Moritz Thiele, Evaluating and Enhancing Phishing Classification based on Certificate Transparency Logs (MA)
  • 2022, Justus von Brandt, Detection of new DGAs in the Multiclass DGA Classification Setting (MA)
  • 2021, Konstantin Kaulen, Adversarial Attacks and Defenses on DGA classifiers (BA)
  • 2021, Tim Amelung, A Privacy-Preserving Machine Learning Approach for DGA Detection (MA)
  • 2020, Nils Eberhardt, Analyzing the Discretization Problem for Adversarial Training of DGA Detection Classifiers (BA)
  • 2020, Benedikt Holmes, A Study of Model Inversion Defenses in Deep Learning (MA)
  • 2020, Markus Baumgart, DGA Detection on Encrypted DNS Traffic using Machine Learning (MA)
  • 2020, Nils Faerber, Multiclass Classification of DGAs using Classical Machine Learning Approaches (BA)
  • 2019, Mike Lorang, Hardening of Domain Generation Algorithm Classifiers (MA)

Wer Interesse an einer Abschlussarbeit im Bereich Intrusion Detection hat, meldet sich gerne per Mail.

Projekte

• Automated Mobile App Vetting Project
• SAPPAN (beendet)

Publikationen