Advances in ML-Based Anomaly Detection for the IoT

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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