AutoAI-IDS: A Meta-Learning-Based Approach for Automating Model Selection Process for Network Intrusion Detection Tasks

The selection of the appropriate artificial intelligence (AI) model from a variety of different classes of models for network security is a challenging and time-consuming task. In this study, we introduce a meta-learning approach for optimizing model selection for network intrusion detection tasks t...

Descrizione completa

Dettagli Bibliografici

Autori principali:	Tanish Guntur, Kevin P. Grimes, Naren Velnambi, Walaa Alayed, Mustafa Abdallah
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2025-01-01
Serie:	IEEE Access
Soggetti:	Intrusion detection systems meta learning model selection network security fast inference CICIDS-2017
Accesso online:	https://ieeexplore.ieee.org/document/11272048/
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!