基于改进免疫网络算法的网络入侵检测研究  

Research on Network Intrusion Detection Based on Improved Immune Network Algorithm

作　　者：牛成钊 NIU Chengzhao(Wudi Network Culture Service Center,Binzhou Shandong 251900)

机构地区：[1]无棣县网络文化服务中心,山东滨州251900

出　　处：《软件》2024年第6期121-123,共3页Software

摘　　要：本研究旨在通过改进免疫网络算法,增强网络入侵检测系统的效能,实现对复杂网络环境中多样化威胁的有效识别与防御。研究内容涵盖了网络流量数据的收集与处理、基于改进免疫网络算法的检测机制设计以及系统性能的全面测试。研究结果显示,所提出的系统在准确率、检测速度及稳定性方面均达到了优秀的水平,证明了改进免疫网络算法在网络入侵检测领域的有效性和应用价值。This study aims to enhance the effectiveness of network intrusion detection systems by improving immune network algorithms,and achieve effective identification and defense against diverse threats in complex network environments.The research covers the collection and processing of network traffic data,the design of detection mechanisms based on improved immune network algorithms,and comprehensive testing of system performance.The research results show that the proposed system has achieved excellent levels of accuracy,detection speed,and stability,proving the effectiveness and application value of the improved immune network algorithm in the field of network intrusion detection.

关 键 词：改进免疫网络算法 网络入侵 检测系统 数据处理 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]