In this paper a new distributed network intrusion detection model is presented.
提出了一种基于安全从属关系的分布式网络入侵检测模型。
The results show that the two-layer intrusion detection model is more effective and robust.
结果也表明，这种检测模型具有更好的检测效果和健壮性。
The method is based on the intrusion detection model and the entropy is used as the criterion.
该方法以入侵检测模型为基础，信息熵为准则。
This paper describes an adaptive web intrusion detection model based on immune and fuzzy logic.
本文介绍了一种基于免疫系统和模糊逻辑的自适应网格入侵检测模型。
This paper proposes an intrusion detection model based on detection information exchange for WMNs.
该文提出一种基于检测信息交换的入侵检测模型。
A dynamic self-learning efficient intrusion detection model was proposed based on inductive reasoning.
提出了一种基于归纳推理的动态自学习的高效入侵检测模型。
According to the situation, this paper has proposed boldly the intelligent network intrusion detection model.
针对此现状，本文大胆地提出了智能化网络入侵检测模型。
Apply SVM technique to network intrusion detection, and propose a network abnormal intrusion detection model based on SVM.
将支持向量机应用于网络入侵检测，提出一种基于支持向量机的网络异常入侵检测模型。
In the third part, the artificial immune intrusion detection model is realized based on the mobile agent in the PWLAN environment.
第三部分在PWLAN环境下实现了基于移动代理的人工免疫入侵检测系统。
Based on the in-deep research on inductive learning theory, a rule learning algorithm is applied in building the intrusion detection model.
在对归纳学习理论深入研究的基础上，将规则学习算法应用到入侵检测建模中。
The intrusion detection model based on the population artificial immune is composed of discrete elements among which are no direct interactions.
基于群体人工免疫的入侵检测模型主要由一些离散的元素组成，这些元素之间没有直接的交互。
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。
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。
To the limitation of current intrusion detection models, an idea of formulating an intrusion detection model system (TAIDS) based on the GMTH Two-level algorithm was presented.
针对现有入侵检测系统的检测时间范围具有一定局限性的缺陷，提出了一种基于两水平算法的入侵检测系统模型(TAIDS)。
This article mainly did such work as below:(1) the paper proposed a new dynamic self-adaptive intrusion detection model DMHDAIDM which based on data mining and honey-pot technology.
提出了一种新的基于数据挖掘和蜜罐技术的动态自适应入侵检测模型DMHDAIDM。
In this paper an intrusion detection model based on system call sequences is proposed, and a normal activity mode of the system call sequences in absolute security environment is established.
提出了一种基于系统调用序列的入侵检测模型，利用绝对安全环境下的应用程序系统调用序列建立正常行为模式。
This paper introduces an intrusion detection model based on clustering analysis and realizes an algorithm of K-means which can set up a database of intrusion detection and classify safe levels.
提出了一种基于聚类分析方法构建入侵检测库的模型，实现了按k -平均值方法建立入侵检测库并据此划分安全等级的思想。
According to the adaptation strategy we design a adaptive intrusion detection model, DAIDS. In the last we describe the relational experimentations and analyse the result of the experimentations.
在此基础上设计了一个自适应入侵检测模型DAIDS，并进行了相关的试验，取得了一些积极的结果。
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。
Bayes classifier model is a powerful tool for classifying attack types in intrusion detection.
贝叶斯分类模型是入侵检测中用于攻击类型分类的有力工具。
It is an important research topic to improve detection rate and reduce false positive rate of the detection model in the field of intrusion detection.
在入侵检测研究领域中，提高检测模型的检测率并降低误报率是一个重要的研究课题。
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.
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。
Intrusion Detection technology is an important component of P2DR model.
入侵检测技术是P 2dr模型的重要组成部分。
Experiment shows that the system model can detect known intrusion modes with very high detection rate, and also can detect some unknown intrusion modes.
实验表明，该系统对已知攻击模式具有很高的检测率，对未知攻击模式也具有一定的检测能力。
Intrusion Detection Agent is "backbone" in this model.
检测代理是该入侵检测系统模型的骨架。
Based on the framework of network intrusion detection systems based on data mining, this paper devises an analyzer model of unsupervised learning.
本文在基于数据挖掘的网络入侵检测系统框架基础上设计了一个无导师学习的分析器模型。
Moreover, it presents a model of intrusion detection system and strategies for detecting anomaly behaviors.
给出了针对无线网络的入侵检测模型和网络异常行为检测策略。
In this paper, a data mining-based network intrusion detection system model is introduced.
本文提出了一种基于数据挖掘的网络入侵检测系统模型。
In this paper, a new model of network intrusion detection based on active counterwork response is proposed.
在本论文中，我们提出了基于主动对抗响应的网络入侵检测模型。
This paper presents a model of database intrusion detection system, which USES data mining on the audit data in database systems to derive user profiles that describe normal behavior of users.
提出了一种数据库入侵检测模型，利用该模型对数据库审计信息进行挖掘，以发现代表合法用户典型行为的用户轮廓。
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