On the Validation of Traffic Classification Algorithms

Autor:	Daniel Orincsay, Geza Szabo, István Szabó, Szabolcs Malomsoky
Rok vydání:	2008
Předmět:	Network management Traffic classification Network packet Computer science business.industry Key (cryptography) Data mining computer.software_genre business Completeness (statistics) computer Algorithm
Zdroj:	Lecture Notes in Computer Science ISBN: 9783540792314 PAM
DOI:	10.1007/978-3-540-79232-1_8
Popis:	Detailed knowledge of the traffic mixture is essential for network operators and administrators, as it is a key input for numerous network management activities. Traffic classification aims at identifying the traffic mixture in the network. Several different classification approaches can be found in the literature. However, the validation of these methods is weak and ad hoc, because neither a reliable and widely accepted validation technique nor reference packet traces with well-defined content are available. In this paper, a novel validation method is proposed for characterizing the accuracy and completeness of traffic classification algorithms. The main advantages of the new method are that it is based on realistic traffic mixtures, and it enables a highly automated and reliable validation of traffic classification. As a proof-of-concept, it is examined how a state-of-the-art traffic classification method performs for the most common application types.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::709f3eb1b9180ffeed86816ef5df8cc2 https://doi.org/10.1007/978-3-540-79232-1_8 Zobrazit plný text záznamu