【摘要】 首先阐述入侵检测系统自适应性重要作用,接着比较两类入侵检测系统自适应性,从机器学习角度提出基于数据挖掘自适应入侵检测系统框架,并对常用机器学习在入侵检测自适应能力进行比较。通过比较有助于设计入侵检测系统,选择适当学习算法提高分析检测能力,改善入侵检测系统自适应能力。更多还原

【Abstract】 First presents the importance of adaptabil ity of intrusion detection system(IDS).Then,the adaptabilities of two intrusion detection systems are compared.A adaptive system framework of data miningbased intrusion detect ion is put forward from the perspective of machine learning .T he methods of mach ine learning in the common use are compared from the adaptability of intrusion d etecting.The comparison can help us to design IDS.This improves the adapt abilit y of IDS and ability of detection by selection of the proper algorithms.更多还原