人工智能在高校计算机机房网络安全中的应用研究  

Research on the Application of Artificial Intelligence in Network Security of University Computer Rooms

作　　者：傅慧敏 李丹 Fu Huimin;Li Dan(School of Arts and Crafts,Putian University,Putian,China)

机构地区：[1]莆田学院工艺美术学院,福建莆田

出　　处：《科学技术创新》2025年第9期105-108,共4页Scientific and Technological Innovation

基　　金：莆田学院校级科研项目《人工智能在高校计算机机房网络安全中的应用研究》(项目编号2023032)。

摘　　要：随着信息技术的快速发展,高校计算机机房的网络安全问题日益突出。针对高校计算机机房网络安全面临的威胁与挑战,提出了基于人工智能技术的网络安全防御系统。该系统通过数据采集和预处理后,运用基于深度学习的入侵检测技术,将入侵检测结果发送到展示层来实现人机交互。研究表明,该系统可为高校计算机机房的安全稳定运行提供可靠保障,有力维护校园网络信息安全环境,促进高校教学、科研等活动的顺利开展。With the rapid development of information technology,network security issues in university computer rooms are becoming increasingly prominent.A network security defense system based on artificial intelligence technology is proposed to address the threats and challenges faced by the network security of university computer rooms.After data collection and preprocessing,the system uses deep learning based intrusion detection technology to send the intrusion detection results to the display layer for human-computer interaction.Research has shown that this system can provide reliable guarantees for the safe and stable operation of computer rooms in universities,effectively maintain the campus network information security environment,and promote the smooth development of teaching,scientific research and other activities in universities.

关 键 词：深度学习 高校计算机机房 入侵检测 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]