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network traffics
相关语句
  网络流量
     Abnormity Detection of Network Traffic Applied Self-Similarity Analysis of Network Traffics
     运用网络流量自相似分析的网络流量异常检测
短句来源
     A New Method of DDoS Intrude Detection Based on Self-Similarity of Network Traffics
     一种新型的基于网络流量自相似性的DDoS入侵诊测方法
短句来源
     BitTorrent is a popular P2P file share system. But the random peer selection algorithm used in its tracker brings enormous redundancy network traffics.
     BitTorrent系统是当前最流行的P2P文件共享系统,但因其Tracker采用随机的结点选择算法从而造成了大量的冗余网络流量
短句来源
     The normal model of network traffic was adopted in abnormity detection of network traffic based on SSANT. Self-Similarity Hurst parameter and time variable function H(t) of network traffics was analyzed.
     基于网络流量自相似分析的网络流量异常检测采用正常流量模型、对网络流量自相似性参数Hurst及其时变函数H(t)进行分析。
短句来源
     By means of tcpdump, Tstat and AV estimator using in the measured traffic traces, the proposed three essential laws are employed, and then model network traffics as MMPP through interactive self-study approach.
     通过tcpdump、Tstat和AV估计器,在所测得的业务流轨迹中,利用已提出的现代网络流量满足的三个基本定律,通过交互式的自学习方法对网络流量进行MMPP建模。
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  “network traffics”译为未确定词的双语例句
     According to protocol characteristics of network traffics, it draws IP fragment flag and TCP connection flag, builds a statistical intrusion detection model, and realizes signature recognition detection and anomaly detection.
     根据网络数据流的协议特性,提取IP分片标志及TCP协议首部的TCP连接标志,构造了一种基于统计技术的入侵检测模型,并实现了特征识别检测与异常检测。
短句来源
     Statistical Intrusion Detection Based on Protocol Characteristics of Network Traffics
     基于网络数据流协议特性的统计入侵检测
短句来源
     This dissertation explores methods of how to administer and control diverse network traffics efficiently and impartially to enable network to provide undetermined QoS guaranty.
     本文从拥塞控制的角度出发,研究高效、公平的拥塞控制机制,使之能辅助网络提供非确定性的QoS保证。
短句来源
     Then we simulate the models with computer. Moreover, the traffic models are used to analyze the aggregation and decomposition of the network traffics, etc.
     本文对现有自相似模型进行了深入研究,并用计算机进行了仿真验证,并运用模型分析网络业务的合并与分解及网络视频业务。
短句来源
     With the development of network technology, the emergence of new network services and the tremendous change of network users’behavior, however, it is very necessary to study the present novel characteristics of network traffics.
     但是随着网络技术的发展、新网络应用的不断涌现以及网络用户行为的巨大变化,研究目前IP数据网络混合流量变化特性是十分必要的。
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  相似匹配句对
     NETWORK
     网络
短句来源
     NETWORK
     网络技术
短句来源
     Characteritics Analysis and Modeling of IP Data Network Aggregate Traffics
     IP数据网络混和流的特性分析及模型化
短句来源
     Statistical Intrusion Detection Based on Protocol Characteristics of Network Traffics
     基于网络数据流协议特性的统计入侵检测
短句来源
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  network traffics
We treat the detection of network anomaly in network traffics and the problem of cancer classification with proteomic data in bioinformatics.
      
Then we discuss selfsimilar traffic models in Section III and their relevance in actual network traffics in Section IV respectively.
      
Therefore, to avoid packet loss is still a serious task for all types of network traffics in high-speed network architecture design.
      
In this case, attackers are usually traceable by analysing network traffics to the affected nodes afterwards.
      
DoS generate very frequent network access and negatively affect network traffics.
      
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We design and implement a modeling environment for studying networks?dynamic behaviors. This paper briefly discusses the performances and features of our modeling environment. Under the modeling environment, four kinds of network traffics with outburst character. are found and classified. We exploit the chaotic-fractal theory and iterative function systems (IFS) to describe, analyze, reconstruct and compute these four kinds of network flux behaviors. As results, their fractal dimensions and some...

We design and implement a modeling environment for studying networks?dynamic behaviors. This paper briefly discusses the performances and features of our modeling environment. Under the modeling environment, four kinds of network traffics with outburst character. are found and classified. We exploit the chaotic-fractal theory and iterative function systems (IFS) to describe, analyze, reconstruct and compute these four kinds of network flux behaviors. As results, their fractal dimensions and some important macro-parameters for describing network behaviors are obtained.

设计并实现了一种用于网络行为研究的网络行为建模环境,将网络环境的监测功能和网络行为的分析功能相互结合,为网络系统行为的研究奠定了基础。在这一环境下,归纳了四种有普遍意义的网络突发流量模型,并用混沌分形理论中的迭代函数系统和相空间重构方法对它们进行描述、分析、计算和重构,得到了它们的分形维以及能体现网络流量行为特征的宏观参数。

One of the focuses of any performance evaluation of IP data networks is their analytical Modeling of traffic source.Many papers proposed the different traffic models,which included Markov Models,Regression Models,Long-Range Dependent Traffic Models and(σ,ρ)Leaky-Bucket Model.These models described some characteristics of network traffics,and had the specific applications.With the development of network technology and the emergence of new network services,however,the network traffics...

One of the focuses of any performance evaluation of IP data networks is their analytical Modeling of traffic source.Many papers proposed the different traffic models,which included Markov Models,Regression Models,Long-Range Dependent Traffic Models and(σ,ρ)Leaky-Bucket Model.These models described some characteristics of network traffics,and had the specific applications.With the development of network technology and the emergence of new network services,however,the network traffics present some novel characteristics.Through the time -frequency analysis of the measuring results of the factual network,it is found out that the packets rate of aggregate traffics exhibits the periodicity,and has the characteristics of non-stationary norm processes.This paper proposes the Periodic Non-Stationary Normal Model of aggregate traffics based on measuring and analyzing results.

IP数据网络流量分析模型的研究一直是通信网络性能分析中一个及其重要的问题。许多文献提出一些不同的流量模型,其中包括;马尔可夫模型、回归模型、长程依赖流量模型和(σ,ρ)漏桶模型。这些模型描述了网络流量的一些特性,并具有特定的使用范围。但是随着网络技术的发展和新网络应用的不断涌现,网络流量呈现出一些新的特性。通过对实际网络测试结果的时频分析,发现网络混合流的包速率变化呈现出一定的周期性,而且具有非平稳正态特性。基于此结果,该文提出了网络混合流的周期非平稳正态模型。

This paper presents a new method of network traffic abnormity detection in light with the difficulties in traditional procedure. From an investigation on the Self Similarity parameters of network traffics, Hurst and it's time variable function H(t), the changes in Self Similarity brought by traffic abnormity have been analyzed. The detected abnormal changes in Self Similarity have been used to determine network traffic abnormity. From this investigation, the statistical analysis of network...

This paper presents a new method of network traffic abnormity detection in light with the difficulties in traditional procedure. From an investigation on the Self Similarity parameters of network traffics, Hurst and it's time variable function H(t), the changes in Self Similarity brought by traffic abnormity have been analyzed. The detected abnormal changes in Self Similarity have been used to determine network traffic abnormity. From this investigation, the statistical analysis of network traffic will detect any network traffic abnormity.

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。在对网络流量的自相似性参数 :Hurst参数、Hurst参数的时变函数H(t)的分析基础上 ,对网络流量异常带来的自相似性变化做了研究 ,并通过检测自相似性变化的异常来判断网络流量异常的出现。研究表明 ,这种基于网络流量的统计分析方法能够检测出网络流量异常

 
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