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Title:

Advances in ML-Based Anomaly Detection for the IoT

Document type:
Konferenzbeitrag
Author(s):
Lübben, Christian; Pahl, Marc-Oliver
Keywords:
Machine learning; Tools; Data processing; Collaborative work; Classification algorithms; Object recognition; Internet of Things; IoT; anomaly detection; federated learning; machine learning; security
Book / Congress title:
2021 5th Cyber Security in Networking Conference (CSNet)
Publisher:
Institute of Electrical and Electronics Engineers
Year:
2021
Pages:
18-22
Fulltext / DOI:
doi:10.1109/CSNet52717.2021.9614280
WWW:
https://doi.org/10.1109/CSNet52717.2021.9614280
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