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- Titel:
Distributed Device-Specific Anomaly Detection for Resource-Constrained Devices
- Dokumenttyp:
- Konferenzbeitrag
- Autor(en):
- Lübben, Christian; Pahl, Marc-Oliver
- Stichworte:
- Training; Privacy; Computational modeling; Scalability; Bandwidth; Hardware; Internet of Things; IoT; anomaly detection; microservice; security; edge; distributed; lightweight; neural network; device-specific
- Kongress- / Buchtitel:
- NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium
- Kongress / Zusatzinformationen:
- Best Demo Award
- Verlag / Institution:
- Institute of Electrical and Electronics Engineers
- Jahr:
- 2023
- Seiten:
- 1-3
- Volltext / DOI:
- doi:10.1109/NOMS56928.2023.10154372
- WWW:
- https://doi.org/10.1109/NOMS56928.2023.10154372
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