基于机器学习的自主可控服务器软件网络流量异常检测分析  

Analysis of Network Traffic Anomaly Detection in Autonomous Controllable Server Software Based on Machine Learning

作　　者：王子宜 WANG Ziyi(Hebei University,Hebei 065400,China.)

机构地区：[1]河北大学,河北065400

出　　处：《电子技术(上海)》2025年第1期320-321,共2页Electronic Technology

摘　　要：阐述基于机器学习的自主可控服务器软件网络流量异常检测方法。运用机器学习中的集成学习算法分类识别预处理后数据,实现自主可控服务器软件网络流量异常检测。This paper describes a machine learning based method for detecting network traffic anomalies in autonomous and controllable server software.It uses ensemble learning algorithms in machine learning to classify and recognize preprocessed data,achieving autonomous and controllable server software network traffic anomaly detection.

关 键 词：机器学习 服务器软件 网络流量检测 集成学习 

分 类 号：TP393.06[自动化与计算机技术—计算机应用技术]