Jul 7, 2023 · We modified the DistilBERT applied with knowledge distillation for using a compressed model and securing a remarkable performance.

Oct 22, 2024 · ... Formally, TC is a multiclass classification task and consists of assigning each Traffic Object (TO)-such as flows, biflows, service bursts, ...

Shin et al.: Feasible and Explainable Network Traffic Classifier Utilizing DistilBERT ports and to allocate ports dynamically in real-time, using port-based ...

A Feasible and Explainable Network Traffic Classifier Utilizing DistilBERT. CY Shin, JT Park, UJ Baek, MS Kim. IEEE Access, 2023. 6, 2023. Rule-Based User ...

Fast and Accurate Multi-Task Learning for Encrypted Network Traffic Classification ... A Feasible and Explainable Network Traffic Classifier Utilizing DistilBERT.

This paper describes the mechanism of the deep-learning-based traffic classifier by quantifying the importance of each feature and uses the genetic ...

Chang-Yui Shin, Jee-Tae Park, Ui-Jun Baek and Myung-Sup Kim, "A Feasible and Explainable Network Traffic Classifier Utilizing DistilBERT," IEEE Access Vol.

Our proposed method introduces a novel approach to network traffic classification, utilizing multi-task learning to simultaneously train multiple tasks within a ...

Much of Internet traffic modeling, firewall, and intrusion detection research requires traces where some ground truth regarding application and protocol is ...

A Feasible and Explainable Network Traffic Classifier Utilizing DistilBERT. Request PDF. Open Access. IEEE Access. Profile Image. Chang-Yui Shin · Profile Image.