DocumentCode
2198664
Title
Visual network traffic classification using multi-dimensional piecewise polynomial models
Author
Sanders, Sean ; Fairbanks, Kevin ; Jampana, Sahitya ; Owen, Henry, III
Author_Institution
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
fYear
2010
fDate
18-21 March 2010
Firstpage
283
Lastpage
286
Abstract
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.
Keywords
computer networks; piecewise polynomial techniques; telecommunication congestion control; computer networks; multidimensional piecewise polynomial models; network administrators; network traffic model; visual network traffic classification; Computer networks; Data analysis; Payloads; Polynomials; Sampling methods; Statistical analysis; Statistics; TCPIP; Telecommunication traffic; Traffic control; Piecewise Polynomial; Traffic Classification;
fLanguage
English
Publisher
ieee
Conference_Titel
IEEE SoutheastCon 2010 (SoutheastCon), Proceedings of the
Conference_Location
Concord, NC
Print_ISBN
978-1-4244-5854-7
Type
conf
DOI
10.1109/SECON.2010.5453871
Filename
5453871
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