本文设计了一种基于部件的分布式入侵检测系统。
This Paper designed a distributed intrusion detection system, which based on the component.
本论文首先介绍分布式入侵检测方面的相关工作。
This paper, firstly, introduce the relative work in the aspect of distribut.
提出了一个网络环境下分布式入侵检测系统的框架。
In this essay, a framework for distributed invasion-testing system in network circumstance is achieved by the agents which are distributed in every CPU in network.
分布式入侵检测系统有许多优点，如可测量性和抗破坏性。
Distributed intrusion detection systems( DIDS) have many advantages such as scalability, subversion resistance.
入侵检测代理实现了分布式入侵检测系统最基本的检测功能。
Intrusion detection agent implements the basic detection function of the distributed intrusion detection system.
并在此基础上提出了一种基于协作代理的分布式入侵检测系统。
We analyse the trait of WIDS in the paper and design the distribution IDS based on cooperation-vicegerency.
该文针对目前的分布式入侵检测系统的特点与安全性进行了分析。
This paper firstly analyzes the characteristic and security of current distributed IDS.
分布式入侵检测系统；人工神经网络；增量学习；融合学习；神经网络修剪。
Distribution Intrusion Detection System; Artificial Neural Networks; Incremental learning; Integrated learning; Neural network pruning.
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.
该文介绍的DIDAPPER系统是一种具有认知能力的分布式入侵检测系统。
The DIDAPPER system presented in this paper is a distributed intrusion detector with apperception.
介绍了分布式入侵检测系统的基本组成，各组成部分的功能和入侵检测的方法。
The basic concept, the components and the way of detecting intrusions of the DIDS are introduced.
然后针对校园网入侵检测的需求，设计并实现了一个校园网分布式入侵检测系统。
Then in view of the Intrusion Detection requirement of campus net, designed and implemented a distributed Intrusion Detection System for campus network.
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.
结合网络入侵和主机入侵方面的检测能力，构建了基于智能体的分布式入侵检测系统的体系结构模型。
This paper designs an Agent-based Distributed Intrusion Detection System. The DIDS system combines host-based intrusion detection and network-based intrusion detection functions.
在分析现有分布式入侵检测系统拓扑结构基础上，设计实现了自组织的层次式大规模网络入侵检测系统。
Based on the analysis of current distributed intrusion detection system topology, we design a self-organized hierarchical massive network intrusion detection system.
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.
本文对分布式入侵检测系统进行了介绍，提出了一种基于数据挖掘以及分布式系统架构的入侵检测系统。
This paper introduces a method, data fusion, to intrusion detection system (IDS), and presents a new design of DIDS based on data fusion.
实验表明，基于分层结构体的分布式入侵检测系统能够实现对入侵的检测、处理和响应的分布化和智能化。
The experiments show that the BaLaSDIDS can achieve the detection, process, and respond of the intrusions distributed and intellectualized.
基于代理的分布式入侵检测系统实现了基于主机和基于网络检测的结合，为网络系统提供更好的安全保护。
It provides a better safeguard for network system by the multi-agent-based distributed intrusion detection system that combines host-based IDS with network-based IDS.
分布式拒绝服务攻击的出现已经使分布式入侵检测逐渐成为入侵检测乃至整个网络安全领域的又一研究重点之一。
The emergence of the DDoS (Distributed Denial of Service), which has made DID (Distributed intrusion detection) an important research point of the intrusion detection and the whole network safety.
介绍了新一代入侵检测技术，研究了分布式入侵检测系统的体系结构，并分析了协同在入侵检测中发挥的重要作用。
This paper describes new intrusion-detection techniques, researchs architecture of distributed IDS , analyses important functions of coordination in IDS.
重新设计实现了报警模块，将警报格式转换成标准的idmef格式，使其可以方便的集成到分布式入侵检测系统中。
We also design and realize the modular which can converse the alert to uniform standard IDMEF form that make it integrate into distributed intrusion detection system conveniently.
由此提出了分布式入侵检测的思想，即采用多个检测部件，各检测部件选用不同的检测方法，协同合作，完成检测任务。
Distributed intrusion detection was proposed, that adopt several detections parts, and each part chooses different detection method, then work together to accomplish the detection task.
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.
近年提出的将对等结构应用于分布式入侵检测系统中的思想，为解决当前入侵检测系统所存在的效率瓶颈和安全隐患问题提供了一种方案。
The idea of peer to peer distributed IDS proposed in recent years offers a solution to the efficiency and security problems in traditional distributed IDS.
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.
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.
分布式入侵检测系统的各个部件之间的通信需要统一的标准的消息格式，我们使用的是由IDWG所定义的入侵检测消息交互格式（IDMEF）。
We choose Intrusion Detection Message Exchange Format (IDMEF) defined by IDWG of IETF. The types of message used in our system are more than those defined in IDMEF.
将代理技术应用于大规模分布式入侵检测系统的实现中，提出了可应用于LD - IDS的任务分派机制，该机制实现对移动代理的使用和管理。
We use agent technology to implement Large-Scale Distributed IDS. This paper proposes a task distribution mechanism to manage the mobile agents of the LD-IDS.
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