Comparing traffic classifiers

Many reputable research groups have published several interesting papers on traffic classification, proposing mechanisms of different nature. However, it is our opinion that this community should now find an objective and scientific way of comparing results coming out of different groups. We see at least two hurdles before this can happen. A major issue is that we need to find ways to share full-payload data sets, or, if that does not prove to be feasible, at least anonymized traces with complete application layer meta-data. A relatively minor issue refers to finding an agreement on which metric should be used to evaluate the performance of the classifiers. In this note we argue that these are two important issues that the community should address, and sketch a few solutions to foster the discussion on these topics.

In  Computer Communication Review

Publisher  Association for Computing Machinery, Inc.
Copyright © 2007 by the Association for Computing Machinery, Inc. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept, ACM Inc., fax +1 (212) 869-0481, or permissions@acm.org. The definitive version of this paper can be found at ACM’s Digital Library --http://www.acm.org/dl/.

Details

TypeArticle
Pages65-68
Volume37
Number3
> Publications > Comparing traffic classifiers