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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 rapid development of computer and Internet application technology, network intrusion detection technology is more and more important. This paper addresses the existing problems of network intrusion detection system. Combined with the existing data fusion and data mining algorithms, the paper presents a network intrusion detection model based on multi-sensor data fusion and data mining. The application of this model can make it possible to find out elements that can block invaders, and at the same time, it can greatly reduce the harm of network invasion and improve the immunity of its own system. Its function is described in detail in the text.