Name
Title | ||
|---|---|---|
Machine learning algorithms for accurate flow-based network traffic classification: Evaluation and comparison |
Abstract | ||
|---|---|---|
The task of network management and monitoring relies on an accurate characterization of network traffic generated by different applications and network protocols. We employ three supervised machine learning (ML) algorithms, Bayesian Networks, Decision Trees and Multilayer Perceptrons for the flow-based classification of six different types of Internet traffic including peer-to-peer (P2P) and content delivery (Akamai) traffic. The dependency of the traffic classification performance on the amount and composition of training data is investigated followed by experiments that show that ML algorithms such as Bayesian Networks and Decision Trees are suitable for Internet traffic flow classification at a high speed, and prove to be robust with respect to applications that dynamically change their source ports. Finally, the importance of correctly classified training instances is highlighted by an experiment that is conducted with wrongly labeled training data. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1016/j.peva.2010.01.001 | Perform. Eval. |
Keywords | Field | DocType |
data set composition,classified training instance,bayesian networks,traffic classification performance,network traffic,accurate flow-based network traffic,comparison,training data,internet traffic,network management,traffic classification,decision trees,flow-based classification,supervised machine learning,internet traffic flow classification,privacy-preserving classification,decision tree,bayesian network,machine learning,network protocol,multilayer perceptron,p2p | Traffic classification,Data mining,Decision tree,Computer science,Artificial intelligence,Network management,Internet traffic,Communications protocol,Traffic generation model,Algorithm,Bayesian network,Perceptron,Machine learning | Journal |
Volume | Issue | ISSN |
67 | 6 | Performance Evaluation |
Citations | PageRank | References |
41 | 1.31 | 34 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Murat Soysal | 1 | 46 | 1.79 |
| Ece Guran Schmidt | 2 | 146 | 16.27 |