生物免疫系统的自我保护机制对设计新的网络入侵检测系统具有很好的借鉴意义。
The protection mechanism of the natural immune system has brought us inspirations for designing a novel network intrusion detection system.
通过主动扫描被保护网络，获取有效信息，动态地配置入侵检测系统，提高检测效率。
By scanning the protected network actively and gathering necessary information, this system can dynamically configure IDS to improve detection efficiency.
其次，在介绍常用入侵手段和网络入侵检测系统研究现状的基础上，讨论了当前入侵检测技术面临的挑战和发展趋势展望。
Secondly, on the basis of introduction to the normal intrusion methods and state of art of network IDS, contemporary challenges and trends are discussed about IDS.
入侵检测系统是保护网络系统安全的关键技术和重要手段，是网络安全领域的研究热点。
Intrusion detection system is the key technologies to protect network systems security and is important way of network security, being a hot area of research and development.
入侵检测系统是用来检测网络入侵行为的工具。
IDS (intrusion Detection System) is a tool to detect the network intrusion actions.
网络入侵检测系统的设计中，入侵检测引擎的设计是关键。
In the design of the network intrusion system, the design of the intrusion detection engine is the key link.
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.
第三章介绍了网络协议基础，常见的攻击方法和原理，入侵检测系统的规范和标准。
Chapter three introduced the foundation of protocols, common attack method and principle, the norms and standards of the 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。
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.
将该算法应用于入侵检测系统的网络行为智能学习，其误报率仅为10%左右。
When applying the algorithm to network behavior intelligent learning of intrusion detection system, the error rate is about 10%.
入侵检测系统(IDS)在计算机网络安全领域起着举足轻重的作用，应用程度比以前有了很大的扩展。
Intrusion Detection System (IDS) plays an important role in the field of computer network security, its degree of application has expanded a lot.
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.
入侵检测系统对网络资源上的恶意使用行为进行识别，并为对抗入侵提供重要信息。
Intrusion detection system discerns evil intention of network resource, and offers the important information for confronting with the invasion.
本文最后介绍了新型网络入侵检测系统的编码工作。
This thesis finally introduces the work of New Type Network Intrusion Detection System 'code.
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.
本篇论文针对当前网络入侵检测系统(IDS)的检测规则，提出了一个具有弹性的、实时的，能动态调整入侵规则的方案。
This paper is aimed at testing the rules of the current network intrusion detection system (IDS), a flexible, real-time; rules can be dynamically adjusted to the invasion plan.
入侵检测系统的研究和实现已经成为现在网络安全的重要课题。
The research and development of IDS has become the important subject about network security.
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.
为更全面的保护网络不受攻击，入侵检测系统应运而生。
Not attacking for more overall protection network, intrusion detection system will give play to irreplaceable function.
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.
入侵检测系统是一种主动保护网络资源的网络安全系统，近年来得到了广泛的研究与应用。
The invasion detection system is one kind of initiative protection network resources network security system, in recent years, we obtained extensive research and the application.
这些方法提高了检测准确率和效率，使得入侵检测系统能够适应高速网络环境。
These methods can enhance the accuracy and efficiency of detection, and make intrusion detection system adapt to high-speed network.
作为保护计算机和网络系统的第二道防线，入侵检测系统的应用的越来越广泛。
As the second line of defense for computer and network systems, intrusion detection systems (IDSs) have been deployed increasingly wider.
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.
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.
分布式入侵检测系统；人工神经网络；增量学习；融合学习；神经网络修剪。
Distribution Intrusion Detection System; Artificial Neural Networks; Incremental learning; Integrated learning; Neural network pruning.
入侵检测系统能有效防御网络上多数病毒和非法入侵，但也存在效率问题，特别是在高速网络环境下对检测效率要求非常高。
Although IDS can defend viruses and illegal intrusions effectively on the Internet, it has a performance bottleneck when efficiency is highly count, especially on the high-speed network.
用于网络入侵检测系统（IDS）的特征（变量）数量太多或太少都会降低IDS识别入侵者的正确率。
Using too many or too too few characters(variable) in Intrusion Detection System(IDS) leads to reduce recognizing correctness of IDS.
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.
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