Cover Image

Practical and Configurable Network Traffic Classification Using Probabilistic Machine Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Jiahui, Breen, Joe, Phillips, Jeff M., Van der Merwe, Jacobus
Format:	Preprint
Published:	2021
Subjects:	Machine Learning Networking and Internet Architecture
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FlexRDZ: Autonomous Mobility Management for Radio Dynamic Zones
by: Gottipati, Aashish, et al.
Published: (2023)

Building Transparency in Deep Learning-Powered Network Traffic Classification: A Traffic-Explainer Framework
by: Ponraj, Riya, et al.
Published: (2025)

WN-Wrangle: Wireless Network Data Wrangling Assistant
by: Kamath, Anirudh, et al.
Published: (2026)

Bias in the Shadows: Explore Shortcuts in Encrypted Network Traffic Classification
by: Wang, Chuyi, et al.
Published: (2026)

Energy-Efficient Deep Learning for Traffic Classification on Microcontrollers
by: Chehade, Adel, et al.
Published: (2025)

When Simple Model Just Works: Is Network Traffic Classification in Crisis?
by: Jerabek, Kamil, et al.
Published: (2025)

Data Augmentation for Traffic Classification
by: Wang, Chao, et al.
Published: (2024)

Traffic Matrix Estimation based on Denoising Diffusion Probabilistic Model
by: Yuan, Xinyu, et al.
Published: (2024)

The Sweet Danger of Sugar: Debunking Representation Learning for Encrypted Traffic Classification
by: Zhao, Yuqi, et al.
Published: (2025)

NetMamba: Efficient Network Traffic Classification via Pre-training Unidirectional Mamba
by: Wang, Tongze, et al.
Published: (2024)

Deep Learning Network-Temporal Models For Traffic Prediction
by: Xin, Yufeng, et al.
Published: (2026)

Tutorial on Flow-Based Network Traffic Classification Using Machine Learning
by: Pekar, Adrian, et al.
Published: (2026)

BiLCNet : BiLSTM-Conformer Network for Encrypted Traffic Classification with 5G SA Physical Channel Records
by: Ma, Ke, et al.
Published: (2025)

Machine Learning Epidemic Predictions Using Agent-based Wireless Sensor Network Models
by: Nwokoye, Chukwunonso Henry, et al.
Published: (2025)

Universal Embedding Function for Traffic Classification via QUIC Domain Recognition Pretraining: A Transfer Learning Success
by: Luxemburk, Jan, et al.
Published: (2025)

A Comprehensive Survey on Network Traffic Synthesis: From Statistical Models to Deep Learning
by: Sivaroopan, Nirhoshan, et al.
Published: (2025)

Lens: A Knowledge-Guided Foundation Model for Network Traffic
by: Li, Xiaochang, et al.
Published: (2024)

Deep Learning Approaches for Network Traffic Classification in the Internet of Things (IoT): A Survey
by: Kalwar, Jawad Hussain, et al.
Published: (2024)

Traffic Engineering in Large-scale Networks with Generalizable Graph Neural Networks
by: Zhou, Fangtong, et al.
Published: (2025)

Differentiated Federated Reinforcement Learning Based Traffic Offloading on Space-Air-Ground Integrated Networks
by: Qin, Yeguang, et al.
Published: (2022)

Hardware-Aware Neural Architecture Search for Encrypted Traffic Classification on Resource-Constrained Devices
by: Chehade, Adel, et al.
Published: (2025)

ICST-DNET: An Interpretable Causal Spatio-Temporal Diffusion Network for Traffic Speed Prediction
by: Rong, Yi, et al.
Published: (2024)

Using Causality for Enhanced Prediction of Web Traffic Time Series
by: Tian, Chang, et al.
Published: (2025)

Context-Aware Hybrid Routing in Bluetooth Mesh Networks Using Multi-Model Machine Learning and AODV Fallback
by: Islam, Md Sajid, et al.
Published: (2025)

M3Net: A Multi-Metric Mixture of Experts Network Digital Twin with Graph Neural Networks
by: Guda, Blessed, et al.
Published: (2025)

Network Traffic Analysis with Process Mining: The UPSIDE Case Study
by: Vitale, Francesco, et al.
Published: (2025)

AutoFlow: An Autoencoder-based Approach for IP Flow Record Compression with Minimal Impact on Traffic Classification
by: Pekar, Adrian
Published: (2024)

Teal: Learning-Accelerated Optimization of WAN Traffic Engineering
by: Xu, Zhiying, et al.
Published: (2022)

Multi-Step Traffic Prediction for Multi-Period Planning in Optical Networks
by: Maryam, Hafsa, et al.
Published: (2024)

NTP-INT: Network Traffic Prediction-Driven In-band Network Telemetry for High-load Switches
by: Zhang, Penghui, et al.
Published: (2025)

Versatile yet Efficient Network Traffic Analysis: Offloading Network Foundation Model to SmartNIC
by: Lin, Chungang, et al.
Published: (2025)

An NWDAF Approach to 5G Core Network Signaling Traffic: Analysis and Characterization
by: Manias, Dimitrios Michael, et al.
Published: (2022)

CNN+Transformer Based Anomaly Traffic Detection in UAV Networks for Emergency Rescue
by: Han, Yulu, et al.
Published: (2025)

PACC: Protocol-Aware Cross-Layer Compression for Compact Network Traffic Representation
by: Guo, Zhaochen, et al.
Published: (2026)

IoT Network Traffic Analysis with Deep Learning
by: Liu, Mei, et al.
Published: (2024)

Real-Time Network Traffic Forecasting with Missing Data: A Generative Model Approach
by: Deng, Lei, et al.
Published: (2025)

Probabilistic Fault-Tolerant Robust Traffic Grooming in OTN-over-DWDM Networks
by: Manias, Dimitrios Michael, et al.
Published: (2024)

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach
by: Yuan, Xinyu, et al.
Published: (2024)

GCN-Driven Reinforcement Learning for Probabilistic Real-Time Guarantees in Industrial URLLC
by: Alqudah, Eman, et al.
Published: (2025)

TraceCodec: A Compiler-Backed Neural Codec for Stateful Multi-Flow Network Traffic Traces
by: Ding, Junhui, et al.
Published: (2026)