Packet size distribution tendencies in computer network flows

E. Garsva, N. Paulauskas, G. Grazulevicius
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引用次数: 13

Abstract

Network flows are easy to get and simple to store network activity data. The challenge is to interpret them efficiently from security and network engineering standpoint as payload and application layer protocol specific information is missing. The article presents the statistical analysis of network flows with the emphasis on packet size distribution. Existing packet size distribution researches were reviewed. Packet size distribution Cumulative Distribution Functions (CDFs) were produced from existing academic computer network data. The CDFs for protocols TCP, UDP, ICMP and popular application layer protocols (HTTP, DNS) were analysed. Network traffic statistics were further visualized using radar graph. Article provides reusable statistical analysis steps and statistical trends for academic computer network.
计算机网络流中数据包大小分布趋势
网络流易于获取,易于存储网络活动数据。挑战在于从安全和网络工程的角度有效地解释它们,因为缺少有效负载和应用层协议特定信息。本文介绍了网络流的统计分析,重点介绍了数据包大小的分布。对现有的数据包大小分布研究进行了综述。数据包大小分布累积分布函数(CDFs)是利用已有的学术计算机网络数据生成的。分析了TCP、UDP、ICMP协议和常用应用层协议(HTTP、DNS)的CDFs。利用雷达图进一步实现了网络流量统计的可视化。文章提供了学术计算机网络中可重用的统计分析步骤和统计趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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