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。

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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。

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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。

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