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- Titel:
Distributed Device-Specific Anomaly Detection using Deep Feed-Forward Neural Networks
- Dokumenttyp:
- Konferenzbeitrag
- Autor(en):
- Lübben, Christian; Pahl, Marc-Oliver
- Stichworte:
- Performance evaluation; Training; Training data; Hardware; Data models; Time measurement; Complexity theory; IoT; anomaly detection; microservice; security; edge; distributed; lightweight; neural network; device-specific
- Kongress- / Buchtitel:
- NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium
- Verlag / Institution:
- Institute of Electrical and Electronics Engineers
- Jahr:
- 2023
- Seiten:
- 1-9
- Volltext / DOI:
- doi:10.1109/NOMS56928.2023.10154360
- WWW:
- https://doi.org/10.1109/NOMS56928.2023.10154360
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