信息层采用分布式数据融合技术，融合处理网络中各单元节点获得的目标信息。
The distributed data fusion technology was adopted for information layer to deal with the target information gained by each unit node in network.
ESP -SSA架构的相关技术包括传感器数据融合、企业传感器校准和分布式传感器资源管理。
Technologies that will enable these architectures include sensor data fusion, enterprise sensor calibration, and distributed sensor resource management.
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。
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.
同时运用数据融合技术中分布式缠绕判决模型进行描述，从而使有效地获取网络学习者的学习状态变为可能。
At the same time it's described utilizing the distributed twine judgment model of data fusion technology, thus make it possible to obtain the study state of network learner efficiently.
提出了一种改善分布式检测数据性能的集中式最优加权融合算法，建立了该算法的数学模型，进行了严格的算法推导与实例论证。
Centralized optimal weight fusion algorithm is raised to improve the distributed inspection data characteristic in this article, algorithm model and deduction of formula are available.
介绍一种采用数据融合技术对分布式检测参数进行数据处理的方法，可以有效地提高测量结果的精度。
Based on the technology of data fusion, a method is presented to process distributed detection parameters. This method can efficiently improve the precision of measuring result.
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).
数据融合模型包括融合的方法和结构，文章介绍了集成式、分布式和混合式融合结构，并对它们进行了比较。
Data fusion models include fusion method and architecture. The centralized distributed hybrid and hierarchical fusion architectures are described, and some comparison are made between them.
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。
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.
在分布式多传感器数据融合系统中，各单传感器类型不同情况下的融合问题是一类普遍的问题。
In distributed fusion system, the problem that sensors of the system are of different type is a widespread problem.
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.
针对分布式多传感器数据融合系统，提出了一种多传感器异步航迹融合算法。
For distributed multisensor data fusion system, a multisensor asynchronous track fusion algorithm is proposed.
文中提出的数据融合机制具有很好的扩展性，非常适合大规模分布式网络环境的特点。
This mechanism has a perfect scalability and is well fitted to the characteristic of large-scale distributed intrusion detection systems.
文中提出的数据融合机制具有很好的扩展性，非常适合大规模分布式网络环境的特点。
This mechanism has a perfect scalability and is well fitted to the characteristic of large-scale distributed intrusion detection systems.
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