<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In order to improve the autonomous defense ability and correct detection rate of network intrusion detection system, in this essay, an intrusion detection model combining convolutional neural network and Inception network structure is proposed, and the attention mechanism is set in the model, and DropBlock layer is added. In this model, convolutional neural network layer is used to fully extract data features. The attention mechanism is used to calculate the weight of each feature to distinguish the importance of the feature. The DropBlock layer is used to improve the generalization ability of the model, improve the accuracy of intrusion detection and reduce the complexity of the model. Experiments on data sets show that this model has higher accuracy and stronger generalization ability.</p>
</abstract>

In order to improve the autonomous defense ability and correct detection rate of network intrusion detection system, in this essay, an intrusion detection model combining convolutional neural network and Inception network structure is proposed, and the attention mechanism is set in the model, and DropBlock layer is added. In this model, convolutional neural network layer is used to fully extract data features. The attention mechanism is used to calculate the weight of each feature to distinguish the importance of the feature. The DropBlock layer is used to improve the generalization ability of the model, improve the accuracy of intrusion detection and reduce the complexity of the model. Experiments on data sets show that this model has higher accuracy and stronger generalization ability.

Application of deep learning model in computer data mining intrusion detection

Anhui Wenda University of Information Engineering

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Application of deep learning model in computer data mining intrusion detection"}

In order to improve the autonomous defense ability and correct detection rate of network intrusion detection system, in this essay, an intrusion detection...

Application of deep learning model in computer data mining intrusion detection

Online veröffentlicht: 06. Juni 2023

Seitenbereich: 2131 - 2140

Eingereicht: 13. Aug. 2022

Akzeptiert: 01. Dez. 2022

DOI: https://doi.org/10.2478/amns.2023.1.00318

Schlüsselwörter
Deep learning, Intrusion detection, Computer

© 2023 Yan Chen et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Application of deep learning model in computer data mining intrusion detection

Online veröffentlicht: 06. Juni 2023

Seitenbereich: 2131 - 2140

Eingereicht: 13. Aug. 2022

Akzeptiert: 01. Dez. 2022

DOI: https://doi.org/10.2478/amns.2023.1.00318

SchlüsselwörterDeep learning, Intrusion detection, Computer

© 2023 Yan Chen et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Deep learning, Intrusion detection, Computer