这个思想已经被应用于一个基于网络的入侵检测系统。
基于网络的入侵检测系统根据网络流量、网络数据包和协议分析来检测入侵。
Network-based intrusion detection system is based on network traffic, network protocol analysis and packet data to detect intrusion.
基于网络的入侵检测系统就是要在大量的网络数据中区分出“自我”和“非我”。
Intrusion detection system based on network is differentiate self from nonself among huge network data.
文中归纳了入侵检测系统的结构和类别，并提出了一个基于网络的入侵检测系统的设计思想。
In this paper, conclude the architecture and classifications of IDS. Then proposed an implementation of a NIDS which is developed on the base of Linux operating system.
该文在分析基于主机和基于网络的入侵检测系统的特点的基础上，提出了一种电子商务安全审计系统的设计。
This paper first analyses the characteristic of the host -based and network -based intrusion detection systems, then presents an audit system for electronic commerce system.
在系统中，既综合了基于异常行为的入侵检测和基于特征的入侵检测技术，在配置上又采用了主机配置和网络配置相互配合的方式。
In the system, apply the Intrusion detection technique of the based on unusual behavior and signature-based, and adopt the way of host and network configuration cooperating each other.
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.
该系统模型既综合了基于异常行为的入侵检测和基于特征的入侵检测技术，在配置上又采用主机配置和网络配置相互配合的方式。
This model uses not only misuse but also anomaly detection technology, and at deployment the host based subsystem cooperates with the network-based subsystem.
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。
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.
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 data mining-based network intrusion detection system model is introduced.
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。
Based on the framework of network intrusion detection systems based on data mining, this paper devises an analyzer model of unsupervised learning.
本文主要构建了一种基于RBF神经网络的入侵检测系统，给出了基本的设计思想和算法，以及样本数据的收集和预处理方法。
This thesis constructs an IDS based on RBF neural network, which gives the basic thinking of design and the arithmetic, the method of collection and beforehand disposal way of the sample data.
提出了网络安全中基于多传感器数据融合技术的入侵检测模型，并对入侵检测系统的体系结构进行了详细介绍。
This paper advances an invasion detection model in the network security based on multi-sensor data fusion, and introduces in detail the structure of invasion detection system.
代理体系的引入，将基于主机的入侵检测和基于网络的入侵检测灵活地融为一体，形成一个统一的入侵检测系统。
Due to the agent system, A_DTDS comes into being a uniform intrusion detection system that is competent for the task of host-based and network-based intrusion detection.
它将基于网络和基于主机的入侵检测系统有机地结合在一起，提供集成化的检测、报告和响应功能。
It combines the network based IDS and host based IDS into a system, and provides detection, report and response together.
本文首先对网络安全、生物免疫系统、入侵检测以及基于人工免疫的网络入侵检测进行分析研究。
The thesis analyzes and researches the network security, the biologic immune system, intrusion detection and the network intrusion detection based on artificial immune firstly.
通过对人类免疫系统工作原理的研究，根据其原理、体系结构建立了一个基于免疫原理的网络入侵检测系统模型。
Through the research on the operating principle of human immune system, a NIDS model was given based on its principle and architecture.
基于这个思路，我们设计并实现了一个基于神经网络技术的网络入侵检测系统原型。
Based on this idea, we design and develop a Neural Network-Based Network Intrusion Detection System prototype.
本文提出一种基于CVE标准建立的入侵检测专家系统规则库，该入侵检测专家系统是基于网络和主机的混合结合体，提供集成化的检测、报告和响应功能。
We design a CVE-based Intrusion Detection Expert System rule base, it combine the network-based IDS and host-based IDS into a system, and provide detection, report and response together.
通过对基于生物免疫理论的G-T算法和线性时间算法的介绍，提出了多特征匹配算法并将其应用于网络入侵检测系统中。
Multi-properties match algorithm is presented and applied in NIDS by introducing G-T algorithm and linear-time algorithm based on biological immune theory.
基于免疫原理的网络入侵检测系统是一个新的研究领域，其中很多新方法、新机制值得我们去研究和探索。
Network intrusion detection based on immunology is a new studying field in which there are many new methods and mechanisms worthy of studying and exploring.
本文借鉴生物免疫系统中的免疫机制，对检测元的生成机制和匹配算法进行了较深入的探讨，描述了一个基于免疫原理的分布式自适应网络入侵检测系统。
In this paper inspired by the immune mechanism in the biologic immune system, we discussed deeply the generation principle and the matching algorithm of the detector.
本将课程讨论基于网络的入侵检测和防护系统的作用，以及如何最好地部署这些系统，以最大限度地提高覆盖率和收益。
This session discusses the roles of network-based intrusion detection and prevention systems, and where these systems can be best deployed to maximize coverage and benefit.
提出并实现了一个基于网络入侵检测的入侵者定位系统。
This paper presented an intruder locating system based on network intrusion detection, which can trace back the indirect attack in controlled network environment.
最后，提出了一种基于混合神经网络的入侵检测系统模型。
Finally, an intrusion detection system model based on hybrid neural network 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 improve the network environment adaptation ability of intrusion detection, a distributed intrusion detection model based on multi-level immune detector set is presented.
入侵检测系统(IDS)是一种基于主动策略的网络安全系统，是对常用的被动策略的逻辑补偿，是网络安全系统中的重要组成部分。
Intrusion Detection system (IDS) is an activity based network security system. As the logical supplement of usual passive policy, it is the important part of whole security system.
提出了基于免疫机制的网络入侵检测系统模型，将CPK可信认证技术应用到该模型中，提出了特征提取分析方法；
Using the similarity of the vaccine injection technology, the CPK attestation algorithm applies into network intrusion detection system based on immune mechanism.
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.
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.
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