的分布式入侵检测模型 DIDMMA
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 solve the distributed attacks efficiently, this paper presents the Distributed Intrusion Detection Model Based on Multisensor Data Fusion and Mining (DIDM).
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 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。
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.
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