Advanced Hybrid Transformer-CNN Deep Learning Model for Effective Intrusion Detection Systems with Class Imbalance Mitigation Using Resampling Techniques

Advanced Hybrid Transformer-CNN Deep Learning Model for Effective Intrusion Detection Systems with Class Imbalance Mitigation Using Resampling Techniques

Network and cloud environments must be fortified against a dynamic array of threats, and intrusion detection systems (IDSs) are critical tools for identifying and thwarting hostile activities. IDSs, classified as anomaly-based or signature-based, have increasingly incorporated deep learning models i...

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Bibliographic Details
Main Authors: Hesham Kamal, Maggie Mashaly
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Future Internet
Subjects:
ADASYN
data resampling
deep learning
ENN
IDS
multi-class classification
Online Access:https://www.mdpi.com/1999-5903/16/12/481
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