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


연구 분야: Safety



학회: CNML '25: Proceedings of the 2025 3rd International Conference on Communication Networks and Machine Learning


초록

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.


Author Profile
Fan Zhao

Key Laboratory of Science and Technology Evaluation and Monitoring of Gansu Institute of Science and Technology Information of Gansu Lanzhou Gansu China long11435@163.com

Andorra

📄 논문 정보

발행 연도 2025년
인용수 0
출판 국가 Andorra
사이트 ACM
좋아요 수 0

연관 논문 목록 (100건)