Cover Image

Building Transparency in Deep Learning-Powered Network Traffic Classification: A Traffic-Explainer Framework

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ponraj, Riya, Durairajan, Ram, Wang, Yu
Format:	Preprint
Published:	2025
Subjects:	Networking and Internet Architecture Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

Practical and Configurable Network Traffic Classification Using Probabilistic Machine Learning
by: Chen, Jiahui, et al.
Published: (2021)

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

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

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

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

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

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

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

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

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

Which Deep Learner? A Systematic Evaluation of Advanced Deep Forecasting Models Accuracy and Efficiency for Network Traffic Prediction
by: Babai, Eilaf MA, et al.
Published: (2026)

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

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

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

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

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

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

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

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

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

NetworkGym: Reinforcement Learning Environments for Multi-Access Traffic Management in Network Simulation
by: Haider, Momin, et al.
Published: (2024)

Comparative Analysis of Deep Learning Models for Real-World ISP Network Traffic Forecasting
by: Koumar, Josef, et al.
Published: (2025)

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

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

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

Geminet: Learning the Duality-based Iterative Process for Lightweight Traffic Engineering in Changing Topologies
by: Liu, Ximeng, 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)

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

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

A Transfer Learning Framework for Anomaly Detection in Multivariate IoT Traffic Data
by: Rezakhani, Mahshid, et al.
Published: (2025)

NetGPT: Generative Pretrained Transformer for Network Traffic
by: Meng, Xuying, et al.
Published: (2023)

Data Matters: The Case of Predicting Mobile Cellular Traffic
by: Vesselinova, Natalia, et al.
Published: (2024)

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

UniNet: A Unified Multi-granular Traffic Modeling Framework for Network Security
by: Wu, Binghui, et al.
Published: (2025)

A review on Deep Neural Network for Computer Network Traffic Classification
by: Haque, Md. Ariful, et al.
Published: (2022)

MamNet: A Novel Hybrid Model for Time-Series Forecasting and Frequency Pattern Analysis in Network Traffic
by: Zhang, Yujun, et al.
Published: (2025)