Replication: Contrastive Learning and Data Augmentation in Traffic Classification Using a Flowpic Input Representation

1 code implementation • 18 Sep 2023 • Alessandro Finamore, Chao Wang, Jonatan Krolikowski, Jose M. Navarro, Fuxing Chen, Dario Rossi

Over the last years we witnessed a renewed interest toward Traffic Classification (TC) captivated by the rise of Deep Learning (DL).

Contrastive Learning Data Augmentation +2

Cross-network transferable neural models for WLAN interference estimation

no code implementations • 25 Nov 2022 • Danilo Marinho Fernandes, Jonatan Krolikowski, Zied Ben Houidi, Fuxing Chen, Dario Rossi

Airtime interference is a key performance indicator for WLANs, measuring, for a given time period, the percentage of time during which a node is forced to wait for other transmissions before to transmitting or receiving.

A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic Classification

1 code implementation • 11 Feb 2022 • Kevin Fauvel, Fuxing Chen, Dario Rossi

Traffic classification, i. e. the identification of the type of applications flowing in a network, is a strategic task for numerous activities (e. g., intrusion detection, routing).

Intrusion Detection Traffic Classification