JSM 2004 - Toronto

Abstract #300304

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Activity Number: 64
Type: Invited
Date/Time: Monday, August 9, 2004 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistical Graphics
Abstract - #300304
Title: Modeling Internet Traffic Data
Author(s): Karen Kafadar*+ and Edward J. Wegman
Companies: University of Colorado, Denver and George Mason University
Address: PO Box 173364, Dept. of Mathematics Box 170, Denver, CO, 80217-3364,
Keywords: evolutionary graphics ; streaming data ; internet attacks ; internet traffic modeling
Abstract:

Graphical displays are valuable tools in the modeling and analysis of data. Internet traffic data pose special challenges due to the high rates at which they are collected and their nonstationary behavior, even within relatively short periods of time. Different displays are indicated depending upon the ultimate purpose of the analysis; e.g., forecasting trends, detecting outliers, identifying possible network attacks. We describe components of internet traffic, propose some methods of visualizing them, and illustrate these methods on data collected at a university network. Some open problems in studying high-volume data in general are mentioned.

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Revised March 2004