The missing link in network intrusion detection: taking AI/ML research efforts to users

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: In: IEEE Access, 12, S. 79815-79837

Event: Veröffentlichung

(where): Augsburg

(who): Universität Augsburg

(when): 2024

Event: Veröffentlichung

(who): Institute of Electrical and Electronics Engineers (IEEE)

(when): 2024

Creator: Dietz, Katharina
Mühlhauser, Michael
Kögel, Jochen
Schwinger, Stephan
Sichermann, Marleen
Seufert, Michael Thomas
Herrmann, Dominik
Hoßfeld, Tobias

DOI: 10.1109/access.2024.3406939

URN: urn:nbn:de:bvb:384-opus4-1138282

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:56 AM CEST

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Associated

Dietz, Katharina
Mühlhauser, Michael
Kögel, Jochen
Schwinger, Stephan
Sichermann, Marleen
Seufert, Michael Thomas
Herrmann, Dominik
Hoßfeld, Tobias
Universität Augsburg
Institute of Electrical and Electronics Engineers (IEEE)

Time of origin

2024

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The missing link in network intrusion detection: taking AI/ML research efforts to users

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Other Objects (12)

Simulative performance evaluation of a mobile peer-to-peer file-sharing system : Report Nr. 345

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Performance modeling and analysis of communication networks : a lecture note

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Monitoring the Quality of Streaming and Internet of Things Applications

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White Paper on Crowdsourced Network and QoE Measurements – Definitions, Use Cases and Challenges

Monitoring the Quality of Streaming and Internet of Things Applications

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