Tootfinder

Confidence Driven Classification of Application Types in the Presence of Background Network
Eun Hun Choi, Jasleen Kaur, Vladas Pipiras, Nelson Gomes Rodrigues Antunes, Brendan Massey
https://arxiv.org/abs/2508.03891

Confidence Driven Classification of Application Types in the Presence of Background Network
Accurately classifying the application types of network traffic using deep learning models has recently gained popularity. However, we find that these classifiers do not perform well on real-world traffic data due to the presence of non-application-specific generic background traffic originating from advertisements, analytics, shared APIs, and trackers. Unfortunately, state-of-the-art application classifiers overlook such traffic in curated datasets and only classify relevant application traffi…