Application of deep learning model in computer data mining intrusion detection-Reference-Cited by-同舟云学术

Application of deep learning model in computer data mining intrusion detection

Published:2023-06-06 Issue:2 Volume:8 Page:2131-2140
ISSN:2444-8656
Container-title:Applied Mathematics and Nonlinear Sciences
language:en
Short-container-title:

Author:

Chen Yan¹,Zhao Cuirong²

Affiliation:

1. 1 School of Computer Engineering , Anhui Wenda University of Information Engineering , Hefei , , China

2. 2 Department of Personnel , Anhui Wenda University of Information Engineering , Hefei , , China

Abstract

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.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science

Link

https://www.sciendo.com/pdf/10.2478/amns.2023.1.00318

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