Original scientific paper

https://doi.org/10.17559/TV-20241009002044

Research on Key Technology Algorithms of Communication Network Intrusion Detection and Data Encryption Based on Artificial Intelligence

Wei Cai ; School of Intelligent Manufacturing, Jianghan University, Wuhan, 430056, China *
Yingze Ye ; Information Technology Center, Huazhong Agricultural University, Wuhan, 430070, China

* Corresponding author.

Abstract

In order to solve the problem of network intrusion detection and data encryption, artificial intelligence is introduced into communication network intrusion detection. Obtain the intrusion data of communication network and analyze the abnormal behavior of communication network: Firstly, the intrusion behavior data is processed based on artificial intelligence algorithm, and the number of network security vulnerabilities and network attacks is screened out. Secondly, an adaptive monitoring method is designed by using reinforcement learning agent to interact with the environment and constantly update the characteristics of the agent. The practical application shows that the method has higher detection stability than the traditional fixed detection method. Finally, on the basis of obtaining the data of communication network nodes by using artificial intelligence technology, the obtained data of communication network nodes is encrypted by using mixed-pool mapping method. The results of design comparison and test show that the proposed artificial intelligence-based network communication data encryption transmission method has higher efficiency, shorter response time and less abnormal node loss, which proves that the proposed method has better encryption transmission performance.

Keywords

artificial intelligence; communication; communication network; communication protocol; data encryption; intrusion detection

Hrčak ID:

330566

URI

https://hrcak.srce.hr/330566

Publication date:

1.5.2025.

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