International Conference on Computer and Knowledge Engineering

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Home / 12th International Conference on Computer and Knowledge Engineering

The Effect of Network Environment on Traffic Classification

Authors :

Abolghasem Rezaei Khesal¹ Mehdi Teimouri²

1- University of Tehran 2- University of Tehran

Keywords :

Robust traffic classification،machine learning،feature engineering،cross-validation،network traffic dataset

Abstract :

One of the challenges of network traffic classification and mobile app identification is model generalization. The accuracy and efficiency of classification models are strongly influenced by the network environment and user behavior. By changing the network environmental parameters such as mobile type or app version, the accuracy of the trained classification model may be reduced. In this paper, we investigate the effect of the network environment on one of the most well-known networks traffic classifiers. To this end, we have collected a dataset of 60 popular apps in Iran using different network environments.

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