The key idea behind our approach is to build a set of protocol fingerprints that we believe summarize, in a compact and efficient way, the main IP-level ...

The key idea behind our approach is to build a set of protocol fingerprints that we believe summarize, in a compact and efficient way, the main IP-level ...

Here we present a novel classification technique based on the statistical analysis of network traffic performed at the IP-level. The key idea behind our ...

IP TRAFFIC CLASSIFICATION. One approach commonly used for identifying applications on an. IP network is to associate the observed traffic (using flow level data ...

Accurate traffic classification is the keystone of numerous network activities. Our work capitalises on hand-classified network data, used as input to a ...

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In this paper, we review existing network classification techniques, such as port-based identification and those based on deep packet inspection.

Jul 2, 2024 · Abstract. The major purpose of technique of classifying the network traffic is to identify various kinds of applications or traffic data.

This work proposes a framework for application classification using an unsupervised machine learning (ML) technique and proposes a systematic approach to ...

Jul 12, 2023 · Statistical analysis-based encrypted traffic classification: This method employs statistical analysis techniques to examine the properties ...