This paper presents a new method of network-wide traffic anomaly detection.
提出了基于信息熵的大规模网络流量异常检测方法。
A network traffic anomaly detection mechanism is presented based on support vector machine (SVM).
提出了一种基于支持向量机的网络流量异常检测方法。
Anomaly detection based on network traffic model is one of the important research directions in traffic anomaly detection.
基于网络流量模型的异常检测是流量异常检测的一个重要研究方向。
This paper presents and implements a macro-network traffic anomaly detection strategy based on sequential frequent pattern mining.
基于序贯频繁模式挖掘，提出并实现了一种宏观网络流量异常检测的方法。
It is always a difficult problem to erect a model of normal behaviors in the area of network traffic anomaly detection, a method of network intrusion detection.
流量异常检测，作为一种网络入侵检测的方法，存在着如何建立正常行为模型的难题。
Through the comparison of the results from the experiment and wavelet analysis, it shows that network-wide traffic anomaly detection based on subspace method is more simple and effective.
通过实验结果与小波分析结果的对比，证明了基于子空间方法的大规模网络流量异常检测是一种既简单又高效的方法。
A novel online fault detection algorithm based on adaptive auto-regressive (AAR) model is proposed focusing on the anomaly detection of network traffic.
通过研究网络流量异常检测，提出一种新的基于自适应自回归(aar)模型的在线故障检测算法。
Anomaly detection collects and analyses traffic data from many MAs, then detects the anomaly signature by SS.
异常检测在多个MA上采集并分析流量数据，在统计服务器上检测流量的异常特征。
What's more, writer has validated the real-time and effectiveness of the classification of traffic and anomaly detection methods by experiment.
并通过实验，验证了本文所提出的流量分类与异常流量检测方法的实时性和有效性。
The anomaly detection algorithms of the large scale network(LSN) were required to analysis the vast network traffic of G bit level in real-time and on-the-fly.
随着网络规模和速度的增加，大规模网络异常发现要求检测算法能够在无保留状态或者少保留状态下对G比特级的海量网络业务量数据进行实时在线分析。
And according to Protocol Analysis detection, it can flag the anomaly traffic, and detect some attack variations, and resist attackers' obfuscation attempts.
利用协议分析技术发现网络中的异常报文，标识出未知攻击，发现攻击者使用的躲避技术和变种攻击。
We will address anomaly detection, and once an attack is detected how to divert traffic to a Guard cluster that provides a multi-layer intelligent filtering complex for intelligent attack mitigation.
我们还将讨论非正常的检测，以及一旦检测出攻击，应当如何把数据流转移到保护集群，保护集群可提供多层智能过滤综合应用，智能地缓解攻击。
We will address anomaly detection, and once an attack is detected how to divert traffic to a Guard cluster that provides a multi-layer intelligent filtering complex for intelligent attack mitigation.
我们还将讨论非正常的检测，以及一旦检测出攻击，应当如何把数据流转移到保护集群，保护集群可提供多层智能过滤综合应用，智能地缓解攻击。
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