如何提高网络入侵检测技术也变为一个业界重点课题。
How to improve the network intrusion detection technology has become a key topic in the IT field.
入侵检测技术从原理上分为异常检测和误用检测，从检测内容上分为主机入侵检测和网络入侵检测技术。
On principle, Intrusion detection technology is made up of abnormal detection and musing detection and by the detected content, it includes host detection and network detection.
本文讨论了基于主机和基于网络入侵检测技术的不同之处，以说明如何将这两种方式融合在一起，以提供更加有效的入侵检测和保护措施。
This paper discusses the difference of Intrusion Detection based on host and net. It explains how to integrate two ways in order to provide efficient Intrusion Detection and protect measures.
Grosse：确实，那些谈论网络中的入侵检测、恶意软件检测或深度包检测的法规正逐渐被当前技术潮流所忽略。
Grosse: I agree that regulations that would talk about intrusion detection or malware detection or deep pack-et inspection on the network really are being passed by with current technology trends.
入侵检测技术作为保护网络安全的一种解决方案，越来越受到人们的重视。
Intrusion detection technique, which as a kind of solution of protecting network security, has been paid more and more attention by people.
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.
分析了目前的入侵检测技术，提出了使用聚类算法进行网络入侵检测的方法，并通过试验说明了该方法的应用效果。
This paper analyses the current intrusion detection techniques, brings forward a technique that applies cluster algorithm to network intrusion detection, and shows the effect through an experiment.
入侵检测技术可以在网络系统受到损害前对入侵行为做出拦截和响应。
Intrusion detection is a technology that can detect intrusion and make response before network system will get harm.
基于机器学习的入侵检测方法是大规模、高带宽网络环境下实现对网络攻击智能检测的关键技术之一。
Intrusion detection techniques based on machine learning is one of the key technologies to be applied to intelligent intrusion detection under the circumstance of large scale and bandwidth network.
鉴于入侵检测技术对网络安全所起的重要作用，对入侵检测技术进行研究具有重要的意义。
Due to its essential role in network security, research on intrusion detection techniques is of great importance.
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.
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.
入侵检测技术作为确保计算机网络信息安全的一个重要手段正成为信息安全领域的研究热点之一。
The intrusion detection technique is an important method to insure the computer network security. It is becoming one of hot research topics in information security field.
入侵检测作为一种主动积极而实时动态的网络安全防范技术，目前得到了广泛的研究。
Intrusion detection is an initiative, active and real time network security technology. It has been studied widely.
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.
入侵检测技术是构成当今网络安全的重要保障。
It is the important guarantee of forming current network security to instruction detection technique.
基于人工免疫的入侵检测技术是网络安全的一个新兴研究领。
The intrusion detection technique based on artificial immune theory is a new research area.
入侵检测技术作为网络安全的一个重要分支，也越来越受到人们的关注。
Intrusion detection technique as an important branch of the network security is paid close attention to by more and more people too.
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.
然后，概括地介绍了系统的入侵检测技术，其中包括神经网络、专家系统等人工智能技术在计算机系统入侵检测中的应用。
Then, several intrusion detection techniques are presented, in which artificial intelligent techniques such as neural networks and expert systems are included.
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.
网络协议分析是网络入侵检测中的一项关键技术。
The network protocol analysis is an essential technique in network intrusion detection.
本文首先简要介绍网络安全现状、入侵检测技术和CORBA 技术，然后给出应用CORBA建立的分布式入侵监测系统体系结构。
This paper first introduces the actuality of network security, intrusion detection technology and CORBA, then puts foward the structure of a distributed intrusion detection system based on CORBA.
网络入侵检测依赖于字符串匹配技术。
Intrusion Detection System (IDS) often relies on string matching techniques.
WLAN入侵检测技术作为一项安全技术，在保证WLAN的网络和系统安全性上起着非常重要的作用。
As a security technology, WLAN intrusion detection technology plays an important role in the security of the WLAN network and system.
“移动代理在入侵检测中的应用”是国家基础研究项目《网络攻防技术》的子课题内容之一。
Mobile Agent Based Intrusion Detection System (MABIDS) is one sub-subject of "Network Attack and Defense Technology", a national fundamental research project.
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.
随着网络技术的飞速发展，入侵检测技术已成为网络安全关注的热点。
With the rapid development of network technology, Intrusion detection has become a highlighted topic of network security.
入侵检测技术是对原有计算机网络安全机制的合理补充，它的应用极大地扩展了网络和系统安全的防御纵深。
Intrusion Detection technology is rational supplement of original computer network security system. The application of it considerably strengthens network and system security.
网络数据包捕获技术，是实现入侵检测、网络安全审计的关键技术。
Packet capture is the key technology of intrusion detection system and network security audit.
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