入侵检测
- 网络intrusion detection;ids;NIDS
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因此,入侵检测的研究也包含了对其它技术的研究。
So the research for IDS means the research for other techniques too .
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因此,信息融合在入侵检测中具有很大的应用前景。
Therefore , there is a wide application foreground for the IDS with information fusion .
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在这之后,桃乐茜·顿宁(DorothyDenning)的IDES(入侵检测专家系统)模型产生了
From now on , Dorothy Denning 's IDES model was come into being .
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通过对以往入侵检测系统的分析和比较,提出了一种改进后的分布式结构
It puts forward an improved distribution architecture according to analyzing the anteriority intrusion detection system .
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基于遗传的改进模糊C均值入侵检测方法
IDS method on the basis of genetic improved fuzzy C-means
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基于改进BP算法的入侵检测神经网络方法
The Neural Network Method for Intrusion Detection Based on Improved BP Algorithm
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基于TCP状态有限自动机的入侵检测研究
Research of intrusion detection system based-on state automaton about TCP protocol
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Linux平台下基于状态迁移分析技术的入侵检测系统
IDS Based on State Transition Tech on Linux OS
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一种Windows主机入侵检测实验系统
Windows Host Intrusion Detection Experimental System
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一种基于UML的协同入侵检测系统分析方法
UML-based analysis method for collaborative intrusion detection system
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基于潜在语义模型的SVM入侵检测研究
Research on support vector machine for intrusion detection based on latent semantic model
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针对IPv6网络下入侵检测系统的分析和研究
For the IPv6 Network Intrusion Detection System for Analysis and Research
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SA算法在基于模型推理入侵检测中的应用
An Application of Simulated Annealing Algorithm in Model-Based Reasoning Intrusion Detection
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结合传统的网络防火墙、入侵检测和C/S模式的黑客监控系统的优点,本系统采用多层分布式C/S体系结构。
This system introduces multi-ties C / S architecture , by combing the advantages of traditional Network Firewall , Intrusion Detection and Hacking Monitor System .
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入侵检测系统(IDS,IntrusionDetectionSystem)作为一种检测工具&使计算机和网络系统免遭非法攻击破坏的重要部件,应运而生。
As an important component of detecting illegal activities and preventing computer and network from destruction , intrusion detection system ( IDS ) emerged .
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首先简述了网络攻击、入侵检测和CORBA等相关概念;
Concepts such as network intrusion , intrusion detection and CORBA are firstly introduced .
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径向基函数(RBF)网络在入侵检测中的应用
Application of RBF Network in Intrusion Detection
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最后,提出了一种基于移动agent的新型分布式入侵检测系统的结构模型,并分析了它的工作过程及主要特点。
Finally , a structure model of mobile agent-based novel distrubuted intrusion detection system is proposed , and its work process and primarily characteristic are analyzed .
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基于PCA与ICA特征提取的入侵检测集成分类系统
An Intrusion Detection Ensemble System Based on the Features Extracted by PCA and ICA
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利用SNMP代理实现基于状态机的入侵检测
Detection of intrusion status based on SNMP proxy
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入侵检测系统(IDS)与入侵防御系统(IPS)
Intrusion Detection System ( IDS ) And Intrusion Prevention Systcm ( IPS )
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将数据挖掘技术应用到传统的入侵检测系统之中,设计了基于改进的Apriori挖掘算法的入侵检测系统模型。
Designing a IDS model based on the improved Apriori algorithm .
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同时本文介绍了人工神经网络在入侵检测中的应用,重点介绍了BP神经网络,针对BP神经网络在实际应用中存在的问题,对BP算法进行了深入的研究并总结了其缺陷所在。
Considering the problems of BP neural network in practice , we make an in-depth study of BP algorithm and summary its shortcomings .
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Web应用程序自身有许多缺陷,由此带来很多不安全的因素,和采用安装防火墙、入侵检测及防病毒软件等御外措施没有必然的联系。
The defections in Web applications bring many unsafe factors which have no necessary relations with the defend measures such as firewall , intrusion check and anti - virus software .
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最后,我们构建了一个符合入侵检测标准CIDF(commonintrusiondetectionframework)的基于数据挖掘的自适应的入侵检测模型。
At last , we design an adaptive intrusion detection model based on data mining according to CIDF ( Common Intrusion Detection Framework ) .
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分布式协同入侵检测引擎的输入数据是本地ID组件提供的基本检测事件和从其他协同关联节点接收到的信息。
The input of the engines is data comes from the local detection subassembly , and the correlation informations from other engines .
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本论文讨论的入侵检测系统&ANIDS(Anomaly-basedNetworkIntrusionDetectionSystem)是基于网络的,采用异常检测技术。
The paper discusses network - and anomaly-based detection , ie , Anomaly-based Network Intrusion Detection System ( ANIDS ), which use two methods to implement abnormal detection .
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Ad-Hoc网络智能化入侵检测系统研究
Research of the Ad-Hoc Networks Intelligent Intrusion Detection System
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本文在研究了国内外相关入侵检测相关技术的基础上,设计了一个基于代理的分布式入侵检测系统原型&ADIDS(Agent-basedDistributedIntrusionDetectionSystem)。
On the basement of current research on intrusion detection technology , we design a prototype of Agent-based Distributed Intrusion Detection System , which is called A_DIDS .
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建立了一种基于GM(1,1)模型的入侵检测数据拟合补缺预处理模型,以及一种基于灰关联的监测指标简约算法。
A data preprocessing model which based on GM ( 1,1 ), and a index reducing algorithm which based on grey relation are built .