目前，入侵检测技术研究的重点集中在无需指导的异常检测上。
At present, the researching emphasis of intrusion detection technology centralizes in anomaly detection without instructions.
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.
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.
然后分析入侵检测技术。比较异常检测和滥用检测各自的优缺点，以及各种检测方法的数据来源。
Then it analyzed intrusion detection technology, compared the merits and shortcomings of Anomaly-based detection and Misuse-based detection, and depicted the source data of different detection ways.
入侵检测按照检测技术分为两类：基于异常的入侵检测和基于误用的入侵检测。
The intrusion detection system divides into two categories according to the detection technique: anomaly-based detection system and misuse-based detection system.
对检测入侵方法中的两种方法——异常入侵检测和误用入侵检测进行了描述，介绍了这两种方法中采用的各种不同的检测技术。
This paper expounds two technique for intrusion detection: anomaly detection and misuse detection, and introduces the category and many intrusion detection techniques of IDS.
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.
当前的入侵检测技术主要有基于规则的误用检测和基于统计的异常检测。
The current intrusion detection techniques mainly include rule-based misuse detection and statistics-based anomaly detection.
入侵检测的分析技术主要分为滥用入侵检测和异常入侵检测，目前国内外流行的网络入侵检测系统大都是采用滥用入侵检测技术。
The ID analysis methods have two ways: one is anomaly detection and the other is misuse detection. Nowadays, the most popular IDS is network intrusion detection system using misuse detection method.
ANIDS是基于异常检测技术的入侵检测系统，它从两个方面来实现异常检测。
This paper focus on Anomaly-based Network Intrusion Detection System (ANIDS), which use two methods to design and implement anomaly detection .
针对异常发现技术和模式匹配技术各有利弊的特点，设计了将这两种技术综合运用的网络入侵检测系统。
On the base of the characteristic of modes of anomaly-based and signature-based, a network invasion detection system is proposed to use the virtue of two modes to detect network invasion.
利用数据挖掘技术对审计数据加以分析，总结出一些正常模式，用来进行异常检测，将有助于提高入侵检测系统的检测准确性和完备性。
Use data mining methods to analyze the audit data and provide anomaly detection based on the generated normal patterns, this method can improve the performance of intrusion detection system.
利用数据挖掘技术对审计数据加以分析，总结出一些正常模式，用来进行异常检测，将有助于提高入侵检测系统的检测准确性和完备性。
Use data mining methods to analyze the audit data and provide anomaly detection based on the generated normal patterns, this method can improve the performance of intrusion detection system.
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