一种智能化网络入侵检测模型设计  

Design of an Intelligent Network Intrusion Detection Model

作　　者：姚宇杰 张宗飞[1] 

机构地区：[1]台州职业技术学院信息技术工程学院,浙江 台州

出　　处：《计算机科学与应用》2022年第9期2128-2136,共9页Computer Science and Application

摘　　要：本文针对当前网络入侵检测系统在识别新型入侵行为时存在误警率和漏警率偏高的弊端,将新型优化技术和机器学习技术引入网络入侵检测,设计了一种具有智能性的网络入侵检测模型,实验模拟表明,本文设计的模型是有效的,并且对新型网络攻击行为的识别能力比较好,为开发新型的网络入侵检测系统提供了设计思路。Aiming at the disadvantages that current network intrusion detection systems have high false alarm rate and missing alarm rate when identifying new types of intrusion, new optimization technology and machine learning technology are applied to network intrusion detection, and an intelligent network intrusion detection model is designed in this paper. Simulation results show that the model designed in this paper is effective, and has better ability to identify new types of network attacks, provides a design idea for developing new network intrusion detection system.

关 键 词：网络入侵检测 量子进化算法 K-MEANS 新型入侵 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术] TP18[自动化与计算机技术—计算机科学与技术]