Visual Network Traffic Classification Using Multi-Dimensional Piecewise Polynomial Models

被引：0

作者：

Sanders, Sean ^{[1
]}

Fairbanks, Kevin ^{[1
]}

Jampana, Sahitya ^{[1
]}

Owen, Henry, III ^{[1
]}

机构：

[1] Georgia Inst Technol, Sch Elect & Comp Engn, Atlanta, GA 30332 USA

来源：

IEEE SOUTHEASTCON 2010: ENERGIZING OUR FUTURE | 2010年

关键词：

Traffic Classification; Piecewise Polynomial;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Computer networks have become a ubiquitous part of modern society. As the spread of networks continues to increase, so do the various applications for the underlying technology. Thus traffic classification has become and remains important to network administrators. In this paper, preliminary results using multi-dimensional piecewise polynomials to model network traffic are shown. Different types of traffic are modeled and inspected visually to demonstrate the usefulness of the procedure.

引用

页码：283 / 286

页数：4

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