To solve the distributed attacks efficiently, this paper presents the Distributed Intrusion Detection Model Based on Multisensor Data Fusion and Mining (DIDM).
为有效解决分布式攻击，提出了基于多传感器数据融合与挖掘的分布式入侵检测模型。
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。
To solve the problem of lacking dynamic organizing agility in distributed intrusion detection systems, an on-demand intrusion detection model adaptive to the Shared data environment was presented.
为了解决分布式入侵检测系统缺乏动态组织敏捷性的问题，提出了适应数据网格的按需入侵检测模型。
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。
In this paper a new distributed network intrusion detection model is presented.
提出了一种基于安全从属关系的分布式网络入侵检测模型。
Finally, a distributed model of intelligent intrusion detection based on the human immune system is raised, and its working process is...
提出了一种基于人体免疫原理的分布式智能入侵检测系统模型和描述了其工作流程。
This paper presents a level of collaboration hybrid Distributed Intrusion Detection System Model.
本文提出了一种层次化协作的电气接地论文混合型分布式入侵检测系统模型。
This paper presents a level of collaboration hybrid Distributed Intrusion Detection System Model.
本文提出了一种层次化协作的电气接地论文混合型分布式入侵检测系统模型。
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