Eintrag in der Universitätsbibliographie der TU Chemnitz
Nugraha, Beny ; Kota, Kavya ; Bauschert, Thomas
Leveraging Federated Learning and Variational Autoencoders for an Enhanced Anomaly Detection System
| Universität: | Technische Universität Chemnitz | |
| Förderung: | BMBF | |
| Institut: | Professur Kommunikationsnetze | |
| Dokumentart: | Konferenzbeitrag, referiert | |
| ISBN/ISSN: | Electronic ISBN: 979-8-3503-6958-8 ; Print on Demand(PoD) ; ISBN: 979-8-3503-6959-5 ;Electronic ISSN: 2693-9789 ; Print on Demand(PoD) ISSN: 2693-9770 | |
| DOI: | doi:10.1109/netsoft60951.2024.10588934 | |
| URL/URN: | https://ieeexplore.ieee.org/abstract/document/10588934 | |
| Quelle: | 2024 IEEE 10th International Conference on Network Softwarization (NetSoft), 24-28 June 2024, St. Louis (USA), pp. 166-174. - IEEE, 2024 | |
| Freie Schlagwörter (Englisch): | Distributed Denial-of-Service (DDoS) Attacks , Federated Learning , Intrusion Detection Systems , Network Security , Client Sampling , Non-IID Traffic Data , Variational Autoencoders |
