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, 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。
This paper presents a level of collaboration hybrid Distributed Intrusion Detection System Model.
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。
The intrusion detection and data mining technology are elaborated and the intrusion detection system model is established applying data mining technology.
扼要阐述了入侵检测和数据挖掘技术，并建立了采用数据挖掘技术的入侵检测系统模型。
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。
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。
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。
This paper introduces the concept of intrusion detection technology, classifications and general model, and analyzes the weaknesses and limitations of intrusion detection System.
文章介绍了入侵检测技术的概念、分类和通用入侵检测模型，并分析了入侵检测系统的弱点和局限性。
Through setting up the model characteristic storehouse and describing the systematic procedure, this paper states its principle based on the description of the frame of Intrusion Detection system.
在入侵检测系统框架的基础上，通过建立模式匹配的模型特征库和描述系统的流程来说明入侵检测系统的原理。
The paper proposes the model of IDS and computer forensic system. It connects intrusion detection and computer forensic.
文中提出了一种入侵检测取证系统模型，它考虑把入侵检测和计算机取证技术结合在一起。
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。
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)。
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.
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。
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。
Through theoretical study and simulation we show the robustness and effectiveness of the model. It can make up for some shortcomings of the traditional intrusion detection system.
通过理论研究和仿真试验均表明该模型的健壮性和有效性，它能弥补传统入侵检测系统的一些不足。
The model of the network security monitor system discussed in the thesis USES the popular intrusion detection technology as the main method, and adopts the technology based on real-time NIDS.
本文中所设计的网络安全监测模型，以当今流行的入侵检测技术为主要方法，采用实时的基于NIDS的技术。
To solve these problems, this thesis proposed a new model for the intrusion detection system that based on the data mining.
针对这些问题，本文提出了一种基于粗糙集理论的入侵检测系统的方法。
Model improves the efficiency of network intrusion detection system with a higher detection rate and low false negative rate by experiment.
通过实验证明，该模型提高了网络入侵检测系统的效率、有着较高的检测率和较低的漏报率。
Many methods are used in analysis model to detect intrusion actions, such as protocol analysis, expert system, application layer data reconstruction, intrusion detection.
对于获得的数据，分析模块采用多种方式综合分析入侵行为，包括协议分析、专家系统、应用数据还原、入侵检测等技术。
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。
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。
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。
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。
Finally, a distributed model of intelligent intrusion detection based on the human immune system is raised, and its working process is...
提出了一种基于人体免疫原理的分布式智能入侵检测系统模型和描述了其工作流程。
Performance analysis and experiments demonstrate that the model is scalable, and can dispatch packets reasonably and utilize intrusion detection system 'sources effectively.
性能分析和实验结果表明，改进的检测系统具有扩展性，能合理的分发数据包，充分的利用入侵检测模块的资源。
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。
Based on detection prevention-data fusion analysis and data mining-response, a layered intrusion prevention system (IPS) model is proposed.
提出一种“检测防御—数据融合分析和数据挖掘—响应”多检测器数据融合和数据挖掘入侵防御模型。
It analyzes the current methods, the universal model and the classification in intrusion detection system.
然而模式匹配技术是通过在数据包中搜索特征字符串检测入侵的。
Experimental result proves that the model can detect intrusion from the network connection data at a lower system false alarm rate and a higher detection rate.
实验结果表明，与其他模型相比，该模型具有较低的误警率和较高的检测率。
Experimental result proves that the model can detect intrusion from the network connection data at a lower system false alarm rate and a higher detection rate.
实验结果表明，与其他模型相比，该模型具有较低的误警率和较高的检测率。
应用推荐