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。
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)。
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。
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。
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。
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。
The model of Multiple Neural Networks by Fuzzy(MNNF) integral presented in this paper is an effective method to improve the detection performance of network intrusion detection system.
为了进一步提高网络入侵检测系统的检测性能，将模糊积分理论和神经网络技术应用到网络入侵检测中，提出了基于模糊积分的多神经网络融合模型MNNF。
In order to solve these problems, an intrusion detection system model based on AIS is put forward. Detection rules are produced by negative selection algorithm.
为了解决这些问题，提出了一个基于人工免疫原理的入侵检测模型，该模型使用负筛选算法产生检测规则集。
Finally, an intrusion detection system model based on hybrid neural network is presented.
最后，提出了一种基于混合神经网络的入侵检测系统模型。
In this paper, the characteristics of MANET are analyzed, the requirements of its intrusion detection system (IDS) are discussed, and an IDS model for MANET is proposed.
文章分析了MANET的特点以及它对入侵检测系统(IDS)的要求，提出了一种MANET的IDS模型。
According to the work of former researchers, this paper designs an artificial immune model for intrusion detection, which is inspired by a human immune system and based on agent technique.
本文在前人研究成果的基础上，以人体免疫学的思想为指导，应用主体技术，设计了一个人工免疫模型，并根据此模型构建了一个入侵检测系统——基于人工免疫模型的入侵检测系统。
An analytical math model was established basing on three form and decline of biological memory and was used in intrusion detection system.
以生物记忆的三种形式的形成与衰减为基础建立一种数学分析模型，并将此应用到入侵检测中去。
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。
To the problems higher rate of false retrieval in anomaly detection system due to the uncertainty of intrusion, this paper presents an Anomaly Detection Model Based on Q- Learning Algorithm (QLADM).
针对网络入侵的不确定性导致异常检测系统误报率较高的不足，提出一种基于Q-学习算法的异常检测模型（QLADM）。 该模型把Q-学习、行为意图跟踪和入侵预测结合起来，可获得未知入侵行为的检测和响应。
An intrusion detection (ID) model is proposed based on the integrated intelligence. A major problem of ID is that large data characteristic and exists half-baked data.
提出了一种基于组合智能的入侵检测模型，入侵检测中存在的主要问题是数据特征属性多，以及存在不完整数据问题。
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 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。
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