Hybrid deep learning approach based on lstm and cnn for malware detection
Malware analysis is essential for detecting and mitigating the effects of malicious software.
This study introduces a novel hybrid approach using a combination of long short-term …
This study introduces a novel hybrid approach using a combination of long short-term …
Novel Approach to Intrusion Detection: Introducing GAN-MSCNN-BILSTM with LIME Predictions
A Benchama, K Zebbara - arXiv preprint arXiv:2406.05443, 2024 - arxiv.org
This paper introduces an innovative intrusion detection system that harnesses Generative
Adversarial Networks (GANs), Multi-Scale Convolutional Neural Networks (MSCNNs), and …
Adversarial Networks (GANs), Multi-Scale Convolutional Neural Networks (MSCNNs), and …