Application of Artificial Intelligence Technology in Computer Network Security Communication

In order to cope with the frequent challenges of network security issues, a method of applying artificial intelligence technology to computer network security communication is proposed. First, within the framework of computer network communication, an intelligent protocol reverse analysis method is...

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Bibliographic Details
Published in:Journal of control science and engineering Vol. 2022; pp. 1 - 6
Main Author: Li, Fulin
Format: Journal Article
Language:English
Published: New York Hindawi 21.07.2022
John Wiley & Sons, Inc
Wiley
Subjects:
Algorithms
Artificial intelligence
Artificial neural networks
Automation
Communication
Computer networks
Grammar
Medical diagnosis
Model testing
Neural networks
Reverse engineering
Semantics
Syntax
ISSN:1687-5249, 1687-5257
Online Access:Get full text
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Summary:In order to cope with the frequent challenges of network security issues, a method of applying artificial intelligence technology to computer network security communication is proposed. First, within the framework of computer network communication, an intelligent protocol reverse analysis method is proposed. By converting the protocol into an image and establishing a convolutional neural network model, artificial intelligence technology is used to map the data to the protocol result. Finally, use the model to test the test data to adjust the model parameters and optimize the model as much as possible. The experimental results show that compared with the test model, the results obtained after training with the deep convolutional neural network model in this paper have increased the accuracy by 2.4%, reduced the loss by 38.2%, and reduced the running time by 42 times. The correctness and superiority of the algorithm and model are verified.
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ISSN:1687-5249
1687-5257
DOI:10.1155/2022/9785880