针对多传感器分布式检测信息融合系统，研究了在NP检验准则下的融合算法。
Towards the distributed multiple sensor detection information fusion, detection performance under N P criterion is studied, while the algorithm for local detection is based on likelihood criterion.
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).
利用多传感器的信息融合思想，提出分布式检测与决策融合方法进行长距离海底管线泄漏监测。
Based on the conception of multi-sensors information fusion, a method for distributions detection and decision fusion of sub-sea pipelines leakage monitoring is presented.
将多传感器数据融合与数据挖掘技术应用到分布式入侵检测中，可连续和全面地提供网络攻防战场环境态势的综合评估。
By applying Multisensor Data Fusion and Data Mining to intrusion detection, DIDM provides the comprehensive assessment of network attack and defense situations continuously and globally.
将多传感器数据融合与数据挖掘技术应用到分布式入侵检测中，可连续和全面地提供网络攻防战场环境态势的综合评估。
By applying Multisensor Data Fusion and Data Mining to intrusion detection, DIDM provides the comprehensive assessment of network attack and defense situations continuously and globally.
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