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Titel:

Advances in ML-Based Anomaly Detection for the IoT

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Lübben, Christian; Pahl, Marc-Oliver
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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