基于人工智能的计算机网络安全防御软件设计与实现

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中图分类号：TP18；TP393.08 文献标志码：A 文章编码：1672-7274（2025）05-0091-03

Abstract： This article focuses on the design of computer network security defense software based on artificial inteligence，exploring new methods and practices of network security defense in dynamic environments.Aiming atthe limitations of traditional network security measures indealing with complexattck behaviors，a modularand layered defense systemarchitecture based on artifcial inteligence technology is proposed.Through data collction， preprocessing，threat detection and defense，and alarmresponse modules，real-time perception，accurate detection， and rapid response to network threats are achieved. Adopting a combination of deep learning and machine learning methods to enhance the recognition ability of known and unknown threats， while optimizing the scalability and resource utilization efficiency of the system through distributed computing and high-performance model training.

Keywords：artificial intelligence; computer network security; security defense software

1 网络安全防御的现状与面临的挑战

网络攻击已经成为影响计算机网络稳定性和安全性的重要威胁，其特点呈现出复杂性、多样性和智能化的发展趋势。（剩余4150字）