一种基于滑动窗口技术的入侵检测方法  

An intrusion detection method based on sliding window technology

作　　者：钟玉峰[1] 雷国华[1] 

机构地区：[1]黑龙江工程学院计算机科学与技术系,哈尔滨150050

出　　处：《信息技术》2009年第7期166-167,170,共3页Information Technology

摘　　要：网络数据流在一段时间内会发生概念性变化,这可能会降低入侵检测的精度。针对网络数据流的这一特性,提出了一种能识别并适应概念飘移的基于滑动窗口的入侵检测方法,它能根据数据流的概念漂移的状况自动调整训练窗口并对检测模式进行及时的更新。The data collected from network will change over a period of time in underlying concepts. This lowers the predictive precision of the detection. This paper proposes a method based on sliding window which can adapt to occurrence of concept drifting according to the characteristics of the network data stream. It can dynamically adjust the size of the training window and the detection model according to the current rate of concept drifting.

关 键 词：入侵检测 滑动窗口 概念漂移 数据挖掘 数据流 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]