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HALIDS: a hardware-assisted machine learning IDS for in-network monitoring

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Metadaten
Author:Belén Brandino, Eduardo Grampin, Katharina Dietz, Nikolas Wehner, Michael SeufertORCiDGND, Tobias Hoßfeld, Pedro Casas
URN:urn:nbn:de:bvb:384-opus4-1128663
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/112866
ISBN:978-3-903176-64-5OPAC
Parent Title (English):2024 8th Network Traffic Measurement and Analysis Conference (TMA), May 21-24, 2024, Dresden, Germany
Publisher:IEEE
Place of publication:Piscataway, NJ
Editor:Mirja Kühlewind, Nitinder Mohan, Matthias Wählisch, Bozheng Pang
Type:Conference Proceeding
Language:English
Date of Publication (online):2024/05/10
Year of first Publication:2024
Publishing Institution:Universität Augsburg
Release Date:2024/05/10
First Page:1
Last Page:4
DOI:https://doi.org/10.23919/TMA62044.2024.10559083
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Vernetzte Systeme und Kommunikationsnetze
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):Deutsches Urheberrecht