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- Dokumenttyp:
- Konferenzbeitrag
- Autor(en):
- Lübben, Christian; Pahl, Marc-Oliver
- Titel:
- Advances in ML-Based Anomaly Detection for the IoT
- Stichworte:
- Machine learning; Tools; Data processing; Collaborative work; Classification algorithms; Object recognition; Internet of Things; IoT; anomaly detection; federated learning; machine learning; security
- Kongress- / Buchtitel:
- 2021 5th Cyber Security in Networking Conference (CSNet)
- Verlag / Institution:
- Institute of Electrical and Electronics Engineers
- Jahr:
- 2021
- Seiten:
- 18-22
- Volltext / DOI:
- doi:10.1109/CSNet52717.2021.9614280
- WWW:
- https://doi.org/10.1109/CSNet52717.2021.9614280
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