To improve the network environment adaptation ability of intrusion detection, a distributed intrusion detection model based on multi-level immune detector set is presented.
为了提高入侵检测系统的网络环境适应能力，提出了一种基于多级免疫检测器集的分布式入侵检测模型。
Based on D-S evidence theory in data fusion technology, this paper applies it to distributed intrusion detection systems and gives a network intrusion early warning model.
本文以数据融合技术中的D - S证据理论为基础，将其运用于分布式入侵检测系统中，提出了基于D - S证据理论的网络入侵预警模型。
Aiming at the problem of traditional intrusion system, such as high false alert rate, alert torrent, alert isolation, a data fusion model in distributed intrusion detection is put forward.
针对传统的入侵检测系统存在的误警率高、存在告警洪流、告警孤立等缺点，引入了数据融合方法，提出了一个分布式入侵检测中的数据融合模型。
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