摘要
文章设计了一套基于人工智能的IT运维监控网络安全管理系统。该系统采用模块化设计,集成数据采集、智能分析、安全响应和管理报告等功能。通过引入机器学习算法,如LSTM、CNN等,实现了高效、准确的异常检测和威胁识别。实证研究结果表明,该系统在异常检测准确率、响应时间等关键指标上较传统方法有显著提升,可有效支撑企业IT运维的智能化和安全性。
This paper designs an AI-powered IT operations monitoring and network security management system.The system adopts a modular design,integrating functions such as data acquisition,intelligent analysis,security response,and management reporting.By introducing machine learning algorithms like LSTM and CNN,it achieves efficient and accurate anomaly detection and threat identification.Empirical research results demonstrate that the system significantly outperforms traditional methods in key metrics such as anomaly detection accuracy and response time,effectively supporting the intelligence and security of enterprise IT operations..
作者
焦晋娟
JIAO Jinjuan(Kunshan Open University(Kunshan Second Secondary Professional School,Jiangsu Province)jiangsu 251300)
出处
《长江信息通信》
2025年第1期171-173,共3页
Changjiang Information & Communications
关键词
人工智能
IT运维监控
网络安全管理系统
artificial intelligence
IT operation and maintenance monitoring
network security management system
作者简介
焦晋娟(1995-),女,山西晋城人,本科,助理讲师,教师,研究方向:网络安全。
