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Joint pdf Plots: Telling Beetles from Ants in Network Traffic Measurement by Cross-Domain Analysis

机译:联合PDF绘图:通过跨域分析告诉甲虫从蚂蚁进行网络流量测量

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In this paper we propose a method for traffic analysis based on plots of joint probability density function. While still referring to traffic flow, we do not focus the attention on the behavior of packets or bytes within a single flow, but rather we collect global statistics about the amount of packets, bytes and flows during non-overlapping observation windows. Then the joint pdf between these traffic statistics is calculated and plotted in order to provide a very simple method of analysis. Considering the jpdf we illustrate how beetles (large flows with a low occurrence) can be easily separated from ants (small flows with a high rate of occurrence). This helps the development of accurate and parsimoniuos traffic models and can also directly identify some kind of network impairments such as port scans.
机译:本文提出了一种基于联合概率密度函数的曲线的交通分析方法。虽然仍然指的是流量流,但我们不会将注意力集中在一个流中的数据包或字节的行为,而是我们收集关于非重叠观察窗口期间的数据包,字节和流量的全局统计信息。然后计算并绘制这些交通统计之间的关节PDF,以提供一个非常简单的分析方法。考虑JPDF我们说明了如何容易地与蚂蚁分离出甲虫(具有低发生的大流量)(具有高发生率的小流量)。这有助于开发准确和ParsimoniuOS交通模型,也可以直接识别某种网络损伤,例如端口扫描。

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