Eintrag in der Universitätsbibliographie der TU Chemnitz
Hajizadeh, Mehrdad* ; Golchin, Pegah ; Nowroozi, Ehsan ; Rigaki, Maria ; Valeros, Veronica ; García, Sebastian ; Conti, Mauro ; Bauschert, Thomas
DeepRed: a deep learning-powered command and control framework for multi-stage red teaming against ML-based network intrusion detection systems
| Universität: | Technische Universität Chemnitz | |
| Institut: | Professur Kommunikationsnetze | |
| Dokumentart: | Konferenzbeitrag, referiert | |
| ISBN/ISSN: | ISBN: 978-1-939133-50-2 | |
| DOI: | doi:10.5555/3769714.3769721 | |
| URL/URN: | https://dl.acm.org/doi/10.5555/3769714.3769721 | |
| Quelle: | WOOT '25: Proceedings of the 19th USENIX Conference on Offensive Technologies, USENIX WOOT, August 11–12, 2025, Seattle, WA, USA, 2025, pp. 103 - 127 | |
| Freie Schlagwörter (Englisch): | AI Red Teaming , Generative adversarial networks , Multi-Stage Attacks , ML-based Network Intrusion Detection Systems |
