A Hierarchical Intrusion Detection Model Combining Multiple Deep Learning Models With Attention Mechanism

In order to ensure the security of computer systems and networks, it is very important to design and implement intrusion detection systems that can detect and mitigate network attacks and threats. Deep learning has great advantages in processing complex, high-dimensional and large-scale traffic data...

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Autors principals:	Hongsheng Xu, Libo Sun, Ganglong Fan, Wanxing Li, Guofang Kuang
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2023-01-01
Col·lecció:	IEEE Access
Matèries:	Deep learning intrusion detection system (IDS) stacked convolutional denoising autoencoders (SCDAE) convolution neural network (CNN) bi-directional long short-term memory (BiLSTM) attention mechanism
Accés en línia:	https://ieeexplore.ieee.org/document/10168116/
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A Hierarchical Intrusion Detection Model Combining Multiple Deep Learning Models With Attention Mechanism

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