将数据挖掘的聚类分析方法与入侵检测系统相结合，提出了一种入侵检测系统的智能结构模型。
Clustering analytical means of Data Mining is combined with Intrusion Detection System and an intellectual structure pattern used in Intrusion Detection Syst.
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.
适应性模型是一种自动建立的基于数据挖掘的入侵检测系统检测模型。
Adaptive model is a detecting model which is automatically built of intrusion detection systems based on data-mining.
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。
The intrusion detection and data mining technology are elaborated and the intrusion detection system model is established applying data mining technology.
该系统基于公共入侵检测框架（CIDF）构建，当出现新攻击时，利用数据挖掘对海量数据进行挖掘，得出入侵模型后由系统自动转换为检测规则以实现规则库的自动更新。
This framework is based on CIDF, and uses Data Mining to mine intrusion models, then automatically transforms it into intrusion detection rules for rule base's updating.
针对传统入侵检测系统构造过程中存在的种种问题，将数据挖掘技术引人入侵检测系统，实现检测模型构造的自动化。
Aiming at the problems exists in the process of IDS (intrusion detection system) constructing, apply data mining technology to IDS to construct the models automatically.
针对这一情况，详细讨论了数据挖掘技术在入侵检测系统中的应用，提出了采用数据挖掘技术的入侵检测系统的结构模型。
To solve this question, the application of the DM technology in IDS is discussed, and the structure of the IDS with the...
针对这一情况，详细讨论了数据挖掘技术在入侵检测系统中的应用，提出了采用数据挖掘技术的入侵检测系统的结构模型。
To solve this question, the application of the DM technology in IDS is discussed, and the structure of the IDS with the...
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