摘要
为解决传统网络安全入侵检测系统检测精度差、耗时长等问题,本文设计了采用固定点算法的网络安全入侵检测防护系统。系统分为数据接收、数据解码及数据预处理三大功能模块,通过引入固定点算法对异常数据进行提取,通过数据特征完成对异常数据的检测。测试表明,与基于优化粒子群算法的网络安全入侵检测防护系统相比,本系统具有更高的精度,能够有效提升工作效率与网络安全维护执行能力,具有良好的应用价值。
In order to solve the problems of poor detection accuracy and long time consumption of traditional network security intrusion detection system,a network security intrusion detection and protection system using FAST Independent Component Analysis(FastICA)is designed.The system is divided into three functional modules:data receiving,data decoding and data preprocessing.It extracts abnormal data by introducing FastICA algorithm,and detects abnormal data through data features.The test shows that the system has higher accuracy than the network security intrusion detection and protection system based on the optimized particle swarm optimization algorithm.The system has higher detection accuracy,can effectively improve the work efficiency and network security maintenance execution ability,and has good application value.
作者
尤慧丽
王永鑫
YOU Huii;WANG Yongxin(Jiangsu Huaian Technician College,Huaian,China,223001)
出处
《福建电脑》
2023年第7期110-113,共4页
Journal of Fujian Computer
作者简介
尤慧丽,女,1984年生,主要研究领域为人工智能、物联网、网络安全。E-mail:1193123889@qq.com;王永鑫,男,1983年生,主要研究领域为网络安全。E-mail:251795291@qq.com。
