基于多传感器数据融合入侵检测模型  

A Intrusion Detection Model based on Multi-sensor Data Fusion

作　　者：陈志航[1] 

机构地区：[1]武汉数字工程研究所,湖北武汉430074

出　　处：《通信技术》2010年第11期112-114,共3页Communications Technology

摘　　要：随着计算机和互联网应用技术的快速发展,网络的入侵检测技术越来越重要。本文是针对现有的网络入侵检测系统存在的问题,结合现有数据融合和数据挖掘算法技术的不断提高,给出了一种基于多传感器数据融合和数据挖掘的网络入侵检测模型。应用该模型能使阻拦入侵元素有依据可寻,同时能很好地减少网络入侵的危害程度,从而提高自身系统的免疫性。其功能在文中详细介绍。With the fast development of the computing and networking technologies,the intrusion detection technology becomes more and more important.For the problems of existing intrusion detection systems and the development of existing data mining and fusion,this paper proposes an intrusion detection model based on the multi-sensor data fusion and data mining and details the functions of this model.This model could reduce the harm of network intrusion and thus emhance the self-immunity of the system.

关 键 词：入侵检测 多传感器 数据融合 

分 类 号：TP393.02[自动化与计算机技术—计算机应用技术]