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Title:

Distributed Device-Specific Anomaly Detection for Resource-Constrained Devices

Document type:
Konferenzbeitrag
Author(s):
Lübben, Christian; Pahl, Marc-Oliver
Keywords:
Training; Privacy; Computational modeling; Scalability; Bandwidth; Hardware; Internet of Things; IoT; anomaly detection; microservice; security; edge; distributed; lightweight; neural network; device-specific
Book / Congress title:
NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium
Congress (additional information):
Best Demo Award
Publisher:
Institute of Electrical and Electronics Engineers
Year:
2023
Pages:
1-3
Fulltext / DOI:
doi:10.1109/NOMS56928.2023.10154372
WWW:
https://doi.org/10.1109/NOMS56928.2023.10154372
 BibTeX