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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Bibliographic Details
Published in:Connection Science
Main Authors: Shuxin Shi, Dezhi Han, Mingming Cui
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Subjects:
intrusion detection
network traffic
convolutional neural network
long short-term memory (lstm)
Online Access:http://dx.doi.org/10.1080/09540091.2023.2227780

Internet

http://dx.doi.org/10.1080/09540091.2023.2227780

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