基于改进的布尔矩阵约简算法的入侵检测方法  

Based on the improved reduction algorithm of Boolean matrix method for intrusion detection

作　　者：许大卫[1] 刘以安[1] 朱丽华[1] 

机构地区：[1]江南大学物联网工程学院,无锡214122

出　　处：《微计算机信息》2011年第7期186-188,共3页Control & Automation

摘　　要：针对入侵检测数据特征维数多,通过改进的布尔矩阵约简算法对入侵数据样本进行属性约简,再应用灰色关联算法,使得原数据集中每条记录由原来的41个属性约简为27个,从而提高了入侵检测的速度和效率。实验结果也表明,应用此种约简方法,提高了入侵检测的效率,且保持了较为理想的检测率。To intrusion detection data in multiple dimensions, improving Boolean matrix has been used to the invasion of the data of attribute reduction,then use gray relational algorithm.So each record from the original data set attribute reduction of 41 to 27. Thereby increasing the speed and efficiency of intrusion detection. The results also show the method can improve the efficiency of intrusion detection, and to maintain the ideal detection rate.

关 键 词：入侵检测 布尔矩阵 灰色关联 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]