A multimodal hybrid parallel network intrusion detection model

With the rapid growth of Internet data traffic, the means of malicious attack become more diversified. The single modal intrusion detection model cannot fully exploit the rich feature information in the massive network traffic data, resulting in unsatisfactory detection results. To address this issu...

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Bibliografiske detaljer

Principais autores:	Shuxin Shi, Dezhi Han, Mingming Cui
Format:	Artigo
Sprog:	Inglês
Udgivet:	Taylor & Francis Group 2023-12-01
Serier:	Connection Science
Fag:	intrusion detection network traffic convolutional neural network long short-term memory (lstm)
Online adgang:	http://dx.doi.org/10.1080/09540091.2023.2227780
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