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HALIDS: a Hardware-Assisted Machine Learning IDS for in-Net..:
, In:
2024 8th Network Traffic Measurement and Analysis Conference (TMA)
,
Brandino, B.
;
Grampin, E.
;
Dietz, K.
... - p. 1-4 , 2024
Link:
https://doi.org/10.23919/TMA62044.2024.10559083
RT T1 <cTitle>2024 8th Network Traffic Measurement and Analysis Conference (TMA)</cTitle>: T1 <Title>HALIDS: a Hardware-Assisted Machine Learning IDS for in-Network Monitoring</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10559083&Exemplar=1&LAN=DE A1 Brandino, B. A1 Grampin, E. A1 Dietz, K. A1 Wehner, N. A1 Seufert, M. A1 Hossfeld, T. A1 Casas, P. YR 2024 K1 Prototypes K1 Process control K1 Machine learning K1 Telecommunication traffic K1 Switches K1 Traffic control K1 Network security K1 In-network machine learning K1 Programmable data plane K1 P4 K1 Active learning K1 Oracles SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.23919/TMA62044.2024.10559083 DO https://doi.org/10.23919/TMA62044.2024.10559083 SF ELIB - SuUB Bremen
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