入侵检测

因此，入侵检测的研究也包含了对其它技术的研究。

So the research for IDS means the research for other techniques too .

因此，信息融合在入侵检测中具有很大的应用前景。

Therefore , there is a wide application foreground for the IDS with information fusion .

在这之后，桃乐茜·顿宁（DorothyDenning）的IDES（入侵检测专家系统）模型产生了

From now on , Dorothy Denning 's IDES model was come into being .

通过对以往入侵检测系统的分析和比较，提出了一种改进后的分布式结构

It puts forward an improved distribution architecture according to analyzing the anteriority intrusion detection system .

基于遗传的改进模糊C均值入侵检测方法

IDS method on the basis of genetic improved fuzzy C-means

基于改进BP算法的入侵检测神经网络方法

The Neural Network Method for Intrusion Detection Based on Improved BP Algorithm

基于TCP状态有限自动机的入侵检测研究

Research of intrusion detection system based-on state automaton about TCP protocol

Linux平台下基于状态迁移分析技术的入侵检测系统

IDS Based on State Transition Tech on Linux OS

一种Windows主机入侵检测实验系统

Windows Host Intrusion Detection Experimental System

一种基于UML的协同入侵检测系统分析方法

UML-based analysis method for collaborative intrusion detection system

基于潜在语义模型的SVM入侵检测研究

Research on support vector machine for intrusion detection based on latent semantic model

针对IPv6网络下入侵检测系统的分析和研究

For the IPv6 Network Intrusion Detection System for Analysis and Research

SA算法在基于模型推理入侵检测中的应用

An Application of Simulated Annealing Algorithm in Model-Based Reasoning Intrusion Detection

结合传统的网络防火墙、入侵检测和C／S模式的黑客监控系统的优点，本系统采用多层分布式C／S体系结构。

This system introduces multi-ties C / S architecture , by combing the advantages of traditional Network Firewall , Intrusion Detection and Hacking Monitor System .

入侵检测系统（IDS，IntrusionDetectionSystem）作为一种检测工具&使计算机和网络系统免遭非法攻击破坏的重要部件，应运而生。

As an important component of detecting illegal activities and preventing computer and network from destruction , intrusion detection system ( IDS ) emerged .

首先简述了网络攻击、入侵检测和CORBA等相关概念；

Concepts such as network intrusion , intrusion detection and CORBA are firstly introduced .

径向基函数（RBF）网络在入侵检测中的应用

Application of RBF Network in Intrusion Detection

最后，提出了一种基于移动agent的新型分布式入侵检测系统的结构模型，并分析了它的工作过程及主要特点。

Finally , a structure model of mobile agent-based novel distrubuted intrusion detection system is proposed , and its work process and primarily characteristic are analyzed .

基于PCA与ICA特征提取的入侵检测集成分类系统

An Intrusion Detection Ensemble System Based on the Features Extracted by PCA and ICA

利用SNMP代理实现基于状态机的入侵检测

Detection of intrusion status based on SNMP proxy

入侵检测系统（IDS）与入侵防御系统（IPS）

Intrusion Detection System ( IDS ) And Intrusion Prevention Systcm ( IPS )

将数据挖掘技术应用到传统的入侵检测系统之中，设计了基于改进的Apriori挖掘算法的入侵检测系统模型。

Designing a IDS model based on the improved Apriori algorithm .

同时本文介绍了人工神经网络在入侵检测中的应用，重点介绍了BP神经网络，针对BP神经网络在实际应用中存在的问题，对BP算法进行了深入的研究并总结了其缺陷所在。

Considering the problems of BP neural network in practice , we make an in-depth study of BP algorithm and summary its shortcomings .

Web应用程序自身有许多缺陷，由此带来很多不安全的因素，和采用安装防火墙、入侵检测及防病毒软件等御外措施没有必然的联系。

The defections in Web applications bring many unsafe factors which have no necessary relations with the defend measures such as firewall , intrusion check and anti - virus software .

最后，我们构建了一个符合入侵检测标准CIDF（commonintrusiondetectionframework）的基于数据挖掘的自适应的入侵检测模型。

At last , we design an adaptive intrusion detection model based on data mining according to CIDF ( Common Intrusion Detection Framework ) .

分布式协同入侵检测引擎的输入数据是本地ID组件提供的基本检测事件和从其他协同关联节点接收到的信息。

The input of the engines is data comes from the local detection subassembly , and the correlation informations from other engines .

本论文讨论的入侵检测系统&ANIDS（Anomaly-basedNetworkIntrusionDetectionSystem）是基于网络的，采用异常检测技术。

The paper discusses network - and anomaly-based detection , ie , Anomaly-based Network Intrusion Detection System ( ANIDS ), which use two methods to implement abnormal detection .

Ad-Hoc网络智能化入侵检测系统研究

Research of the Ad-Hoc Networks Intelligent Intrusion Detection System

本文在研究了国内外相关入侵检测相关技术的基础上，设计了一个基于代理的分布式入侵检测系统原型&ADIDS（Agent-basedDistributedIntrusionDetectionSystem）。

On the basement of current research on intrusion detection technology , we design a prototype of Agent-based Distributed Intrusion Detection System , which is called A_DIDS .

建立了一种基于GM（1,1）模型的入侵检测数据拟合补缺预处理模型，以及一种基于灰关联的监测指标简约算法。

A data preprocessing model which based on GM ( 1,1 ), and a index reducing algorithm which based on grey relation are built .