Name
Abstract | ||
|---|---|---|
Supervised statistical approaches for the classification of network traffic are quickly moving from research laboratories to advanced prototypes, which in turn will become actual products in the next few years. While the research on the classification algorithms themselves has made quite significant progress in the recent past, few papers have examined the problem of determining the optimum working parameters for statistical classifiers in a straightforward and foolproof way. Without such optimization, it becomes very difficult to put into practice any classification algorithm for network traffic, no matter how advanced it may be. In this paper we present a simple but effective procedure for the optimization of the working parameters of a statistical network traffic classifier. We put the optimization procedure into practice, and examine its effects when the classifier is run in very different scenarios, ranging from medium and large local area networks to Internet backbone links. Experimental results show not only that an automatic optimization procedure like the one presented in this paper is necessary for the classifier to work at its best, but they also shed some light on some of the properties of the classification algorithm that deserve further study. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1145/1815396.1815570 | IWCMC |
Keywords | Field | DocType |
statistical network traffic classifier,effective procedure,statistical classifier,supervised statistical approach,automatic optimization procedure,classification algorithm,network traffic,advanced prototype,large local area network,optimization procedure,local area network,traffic classification,classification,transport layer | Traffic classification,Data mining,Computer science,Transport layer,Ranging,Artificial intelligence,Local area network,Internet backbone,Statistical classification,Classifier (linguistics),Linear classifier,Machine learning | Conference |
Citations | PageRank | References |
3 | 0.47 | 11 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Manuel Crotti | 1 | 246 | 12.62 |
| Francesco Gringoli | 2 | 890 | 61.65 |
| Luca Salgarelli | 3 | 937 | 81.17 |