Research on Network Security Threat Detection and Response Mechanism Based on Artificial Intelligence

With the rapid development of information technology, network security threats are becoming increasingly serious. Traditional network security defense mechanisms face many challenges and urgently need new solutions. The rapid development of artificial intelligence (AI) technology provides new solutions and methods for network security. This paper studies this issue and proposes a network security threat detection and response mechanism system based on artificial intelligence. First, the network security threat detection and response mechanism system based on artificial intelligence is introduced, and the convolutional neural network training model is determined. Secondly, the overall architecture process of the system is introduced. Finally, the NSL-KDD dataset is combined for verification. The results show that the proposed system has high recognition accuracy and recall rate under four types of network security attacks, verifying the effectiveness of the proposed system.

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Publication Details

Published
2025-02-21
DOI
https://doi.org/10.1145/3728199.3728249
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on Network Security Threat Detection and Response Mechanism Based on Artificial Intelligence

Fan Zhao
Network Security and Intrusion Detection
article

Research on Network Security Threat Detection and Response Mechanism Based on Artificial Intelligence

Fan Zhao
article en

Abstract

With the rapid development of information technology, network security threats are becoming increasingly serious. Traditional network security defense mechanisms face many challenges and urgently need new solutions. The rapid development of artificial intelligence (AI) technology provides new solutions and methods for network security. This paper studies this issue and proposes a network security threat detection and response mechanism system based on artificial intelligence. First, the network security threat detection and response mechanism system based on artificial intelligence is introduced, and the convolutional neural network training model is determined. Secondly, the overall architecture process of the system is introduced. Finally, the NSL-KDD dataset is combined for verification. The results show that the proposed system has high recognition accuracy and recall rate under four types of network security attacks, verifying the effectiveness of the proposed system.

Openalex Percentile: Top 88%
Network Security and Intrusion Detection
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