本文研究了一种新的流量异常检测方法。
In this paper, a new method to detect traffic anomaly was studied.
提出了基于信息熵的大规模网络流量异常检测方法。
This paper presents a new method of network-wide traffic anomaly detection.
通常，在网络流量管理中使用阈值来检测流量异常。
In general, the traffic anomaly is detected using a threshold in network traffic management.
这种高品质单位，结合了高流量异常出色的灵敏度。
This high quality unit combines excellent sensitivity with unusually high flow capacity.
提出了一种基于支持向量机的网络流量异常检测方法。
A network traffic anomaly detection mechanism is presented based on support vector machine (SVM).
为了解决该问题，提出一种基于全局流量异常相关分析的检测方法。
To solve this problem, a detection method based on global abnormal correlation analysis was proposed.
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。
Anomaly detection based on network traffic model is one of the important research directions in traffic anomaly detection.
针对传统检测方法存在的问题，提出了一种新型的网络流量异常检测方法。
This paper presents a new method of network traffic abnormity detection in light with the difficulties in traditional procedure.
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。
This paper presents and implements a macro-network traffic anomaly detection strategy based on sequential frequent pattern mining.
流量异常检测模块的目的是完成具体的检测任务，它也是检测系统的核心部分。
The aim of the traffic abnormality detecting module is to accomplish detecting tasks, the kernel of the detecting system.
这些高品质的单位，如型号25和模型2500a型，结合高流量异常出色的灵敏度。
These high quality units, such as the Model 25 and Model 2500a, combine excellent sensitivity with unusually high flow capacity.
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。
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.
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。
A novel online fault detection algorithm based on adaptive auto-regressive (AAR) model is proposed focusing on the anomaly detection of network traffic.
将网络流量分解到不同的频段，根据高频段频谱能量，即小波方差的变化对网络流量异常进行检测。
Network traffic is broken down into different frequency, and anomaly change of network traffic is detected through the high-frequency power analysis, that is the change of wavelet variance.
它们的基本功能分别是：在网关服务器上监控流量异常的用户数据包和按照自定的策略设置网络路由。
Their basic functions are: monitoring the unusual data stream and setting up network route according to some tactics at gateway server.
在研究分析了几种网络流量异常检测算法的基础上，提出了一种改进的广义似然估计（IGLR）的检测算法。
On the basis of studying the algorithms of network traffic abnormality detection, an improved Generalized Likelihood Ratio (IGLR) algorithm is proposed.
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。
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.
在分析影响服务可用性网络攻击导致网络流量异常改变的基础上，提出了一种主机网络实时流量的安全状况评估方法。
Analysis of the impact of service availability in the network attacks lead to abnormal changes in network traffic, based on a host of real-time network flow method to assess the security situation.
提出了一种基于带泄漏的积分触发测量方法的电予邮件蠕虫异常检测方法，用来检测邮件蠕虫在传播过程中的流量异常。
An Email flow anomaly detection method based on leaky integrate-and-fire model was presented for detecting flow anomaly in the process of mail worm propagation.
此外，根据的日常流量异常的交换计划(DFA)，最新的过海洋的温度变化的目标模型模拟版本改善了在低，中纬度地区。
Furthermore, based on the daily flux anomaly exchange scheme (DFA), the latest version of GOALS model simulated over-ocean temperature variability is improved in the low and middle latitudes.
网络流量异常是指网络的流量行为偏离其正常行为的情形，具有发作突然、先兆特征未知的特点，有可能在短时间内给网络及其设备带来极大的伤害。
Network traffic anomaly refers to the status that traffic behaviors depart from the normal behaviors, which has characteristics of a sudden attack and the unknown threatened characteristics.
偏头痛是由于异常的血流量进入大脑引起的。
Migraine headaches are caused by abnormal blood flow to the brain.
当问题出现且网络上没有发现任何异常流量时，您可能需要将您的分析工具植入虚拟网络中。
When problems are occurring and you don't see any unusual traffic on the network, you may need to get your analysis tools plugged into the virtual network.
几乎总是，使用异常影响“正常”的流量是一个坏主意。
Almost always, using exceptions to affect the "normal" flow is a bad idea.
网络流量突发异常是指网络业务流量突然出现的不正常的重大变化。
Network traffic burst anomaly is the significant abnormal changes in the network traffic.
对右岸转弯坝段扬压力和渗流量陡涨陡落的异常情况进行了坝踵开裂试验观测。
An observation on dam-heel crack for studying the abnormal sudden change of uplift pressure and seepage flow of blocks close to the round corner of right bank is also introduced.
设计的网路流量突发异常检测原型系统能够报告持续性突发的出现时间范围、平均聚集值，突变性突发的发生时间、峰值。
The network traffic burst detection archetype system can report the time range and aggregate mean value for the lasting bursts, break time point and peak value for abrupt bursts.
本文以大连海事大学网络中心为试验环境，对校园网络的各种威胁进行了详细讨论，选择了校园网的异常流量；
The test environment is Dalian Maritime University network center. The paper discusses various threatens on the campus network in detail and selects the abnormal flow of campus network.
分析表明，该模型不仅可以模拟与网络实测数据相似的网络流量，而且具有一定的异常流量发现能力。
Analysis shows that this model can not only simulate network traffic corresponding to the real network but also detect anomaly traffic to some extent.
ARF发生时，肾脏存在异常的肾血流动力学的改变，肾血流量减少50％，肾小球有效滤过压下降。
There are inappropriate changes of renal hemodynamics that renal blood flow reduce 50%, and glomerular function reduce rapid at the process of ARF.
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