基于机器学习的网络安全日志数据挖掘系统的设计与研究  

Design and Research of Network Security Log Data Mining System Based on Machine Learning

作　　者：施勇[1] SHI Yong(Huainan Normal University,Huainan 241000,China)

机构地区：[1]淮南师范学院,安徽淮南241000

出　　处：《通化师范学院学报》2025年第2期47-53,共7页Journal of Tonghua Normal University

基　　金：安徽省教育厅重点自然科学研究项目(2023AH051557);淮南师范学院科研项目(2023HX139).

摘　　要：针对局域网网络安全攻击问题,提出一种基于数据挖掘技术的创新解决路径.通过集成Python、Java编程语言,结合MySQL数据库管理系统,运用以决策树算法为核心的数据挖掘策略,模拟并实现一个智能化的机器学习驱动网络安全日志动态挖掘系统.该系统能够实现网络安全态势的数据挖掘与安全预测的功能,提高网络安全监测和预警的准确性和效率,为局域网网络安全环境的实时响应与策略调整提供技术支持.Aiming at solving the problem of LAN network security attack,an innovative solution based on data mining technology is proposed.By integrating Python,Java programming language,MySQL database management system,and using decision tree algorithm as the core of data mining strategy,an intelligent machine learning-driven network security log dynamic mining system is simulated.The system can realize the functions of data mining and security prediction of network security situation,improving the accuracy and efficiency of network security monitoring and early warning,and providing technical support for real time response and policy adjustment of LAN network security environment.

关 键 词：机器学习 网络安全日志 数据挖掘 决策树 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]