基于遗传算法的网络入侵检测

Network Intrusion Detection Based on Genetic Algorithm

入侵检测技术是提高计算机系统安全性的有效途径。本文以提高入侵检测系统检测速度和降低误报警率为目的,以网络信息为数据源,经过对入侵检测历史与现状的分析和对目前入侵检测技术的研究。针对目前大多数入侵检测系统存在的局限性,依据入侵检测框架提出了一种利用遗传算法的入侵检测模型,仿真实验结果表明该检测算法可以有效地进行入侵检测,使入侵检测的速度和准确性有了显著提高。

Intrusion detection technology is to improve the security of computer systems an effective way. In this paper, intrusion detection system to improve the detection rate and reduce the rate of False Alarm for the purpose of the network information for the data source, after a history of intrusion detection and analysis of the status quo and the current intrusion detection techniques. Most of the current intrusion detection system limitations, intrusion detection framework based on a genetic algorithm using the intrusion detection model, simulation results show that the detection algorithm can effectively carry out intrusion detection, intrusion detection so that the speed and accuracy Has improved significantly.