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
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;
Conference_Titel :
IEEE SoutheastCon 2010 (SoutheastCon), Proceedings of the
Conference_Location :
Concord, NC
Print_ISBN :
978-1-4244-5854-7
DOI :
10.1109/SECON.2010.5453871