Network Traffic Read List
This repository primarily focuses on network traffic detection methods (including classification, detection, and fingerprinting) and provides an overview of relevant code and papers.
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π We will keep updating it. π
Network Traffic Classification
Network Intrusion Detection
Related Network Traffic Measurement and Datasets
The Network traffic dataset download
Evaluation Metrics
Comparison with state-of-the-arts
Network Traffic Classification
No.
Pub.
Title
Links
π© 01
ICASSP
WaveFormer: Cross-Modal Fusion with Robust Multi-View Flow Representation for Encrypted Traffic Classification
Paper
π© 02
IoT-J
NetTTT: Online Self-Adaptation Inference via Test-Time Training for Encrypted Traffic Classification
Paper
π© 03
TDSC
Ultimate Encrypted Traffic Feature Engineering: HTTPS Encrypted Traffic Classification Using Restored Application Data Unit Length
Paper
π© 04
TIFS
DQSA: Dynamic Quantized Self-Attention for Multi-Task Encrypted Network Traffic Classification
Paper
π© 05
TIFS
End-to-End Open-Set Semi-Supervised Learning for Fine-Grained Encrypted Traffic Classification
Paper
π© 06
TIFS
EO-EPTC: End-to-End Original Traffic-Based Encrypted Proxy Traffic Classification Framework
Paper
π© 07
TIFS
MT-DEGCL: Multi-Task Encrypted Traffic Classification With Dual Embedding and Graph Contrastive Learning
Paper
π© 08
TON
MUFFIN: A Meta-Knowledge Decoupling-Based Approach to Few-Shot IoT Traffic Classification
Paper
π© 09
TON
When Pre-Training Meets Contrast Learning: Few-Shot Encrypted Traffic Classification With Novelty Detection
Paper
No.
Pub.
Title
Links
π© 01
AAAI
Revolutionizing Encrypted Traffic Classification with MH-Net: A Multi-View Heterogeneous Graph Model
Paper /Code
π© 02
CCS
MM4flow: A Pre-trained Multi-modal Model for Versatile Network Traffic Analysis
Paper
π© 03
CCS
Training Robust Classifiers for Classifying Encrypted Traffic under Dynamic Network Conditions
Paper
π© 04
Computer Networks
BTG-RF: Recognizing Douyin payment behaviors based on behavioral traffic graph analysis
Paper
π© 05
Computer Networks
EAPT: An encrypted traffic classification model via adversarial pre-trained transformers
Paper
π© 06
Computers & Security
A graph representation framework for encrypted network traffic classification
Paper
π© 07
Computers & Security
Hierarchical Perception for Encrypted Traffic Classification via Class Incremental Learning
Paper
π© 08
INFOCOM
FlowMiner: A Powerful Model Based on Flow Correlation Mining for Encrypted Traffic Classification
Paper
π© 09
IoT-J
A Deep-Learning-Based Traffic Classification Method for 5G Aerial Computing Networks
Paper
π© 10
JNCA
SAT-Net: A staggered attention network using graph neural networks for encrypted traffic classification
Paper
π© 11
SIGCOMM
The Sweet Danger of Sugar: Debunking Representation Learning for Encrypted Traffic Classification
Paper
π© 12
TIFS
FG-SAT: Efficient Flow Graph for Encrypted Traffic Classification Under Environment Shifts
Paper
π© 13
TIFS
Reliable Open-Set Network Traffic Classification
Paper
π© 14
TIFS
Respond to Change With Constancy: Instruction-Tuning With LLM for Non-I.I.D. Network Traffic Classification
Paper
π© 15
TNSE
DFE: Deep Flow Embedding for Robust Network Traffic Classification
Paper
π© 16
TON
High Precision and Efficient Anonymous Traffic Classification in the Real-World
Paper
π© 17
arXiv
SoK: Decoding the Enigma of Encrypted Network Traffic Classifiers
Paper
No.
Pub.
Title
Links
π© 01
NOMS
Encrypted Traffic Classification at Line Rate in Programmable Switches with Machine Learning
Paper
π© 02
TON
A Novel Self-Supervised Framework Based on Masked Autoencoder for Traffic Classification
Paper /Code
No.
Pub.
Title
Links
π© 01
AAAI
Yet Another Traffic Classifier: A Masked Autoencoder Based Traffic Transformer with Multi-Level Flow Representation
Paper /Code
π© 02
S&P
Robust Multi-tab Website Fingerprinting Attacks in the Wild
Paper
π© 03
WWW
TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification
Paper
π© 04
arXiv
Facing Unknown: Open-World Encrypted Traffic Classification Based on Contrastive Pre-Training
Paper
π© 05
arXiv
Many or Few Samples? Comparing Transfer, Contrastive and Meta-Learning in Encrypted Traffic Classification
Paper
No.
Pub.
Title
Links
π© 01
β
Enhancing Website Fingerprinting Attacks against Traffic Drift
β
π© 02
β
MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic Classification
β
Network Intrusion Detection
No.
Pub.
Title
Links
π© 01
TIFS
Contextual Masking Distillation for Network Traffic Anomaly Detection
Paper
No.
Pub.
Title
Links
π© 01
CCS
Training with Only 1.0 β° Samples: Malicious Traffic Detection via Cross-Modality Feature Fusion
Paper
π© 02
FGCS
WFE-Tab: Overcoming limitations of TabPFN in IIoT-MEC environments with a weighted fusion ensemble-TabPFN model for improved IDS performance
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π© 03
KDD
Wedjat: Detecting Sophisticated Evasion Attacks via Real-time Causal Analysis
Paper
π© 04
NDSS
MineShark: Cryptomining Traffic Detection at Scale
Paper
π© 05
TIFS
Malware Traffic Classification via Expandable Class Incremental Learning With Architecture Search
Paper
π© 06
WWW
Helios: Learning and Adaptation of Matching Rules for Continual In-Network Malicious Traffic Detection
Paper /Code
π© 07
arXiv
Hierarchical Local-Global Feature Learning for Few-shot Malicious Traffic Detection
Paper
No.
Pub.
Title
Links
π© 01
CCS
Detecting Tunneled Flooding Traffic via Deep Semantic Analysis of Packet Length Patterns
Paper
π© 02
TIFS
Enhanced Few-Shot Malware Traffic Classification via Integrating Knowledge Transfer With Neural Architecture Search
Paper
π© 03
TON
Flow Interaction Graph Analysis: Unknown Encrypted Malicious Traffic Detection
Paper
No.
Pub.
Title
Links
π© 01
CCS
Point Cloud Analysis for ML-Based Malicious Traffic Detection: Reducing Majorities of False Positive Alarms
Paper
π© 02
IoT-J
A Deep Subdomain Adaptation Network With Attention Mechanism for Malware Variant Traffic Identification at an IoT Edge Gateway
Paper
No.
Pub.
Title
Links
π© 01
β
TriFusion-IDS: A Multimodal Graph-Tabular-Text Contrastive Framework for Cross-Dataset Intrusion Detection
β
Related Network Traffic Measurement and Datasets
No.
Pub.
Title
Links
π© 01
CSUR
Deep Learning on Network Traffic Prediction: Recent Advances, Analysis, and Future Directions
Paper
π© 02
IEEE Data Descriptions
Descriptor: UNSW IoT Traffic Data With Packets, Flows, and Protocols (UNSW-IoTraffic)
Paper
No.
Pub.
Title
Links
π© 01
IMC
ReACKed QUICer: Measuring the Performance of Instant Acknowledgments in QUIC Handshakes
Paper
No.
Pub.
Title
Links
π© 01
β
Exposing and Circumventing SNI-based QUIC Censorship of the Great Firewall of China
β
The Network traffic dataset download
CICIIOT25 datasets download1 .
UNSW-IoTraffic: Descriptor: UNSW IoT Traffic Data With Packets, Flows, and Protocols Paper .
Network traffic classification.
This link near all evaluation metrics for Network traffic classification including xxx.
You can found in here .
Comparison with state-of-the-arts
Here includes the performance comparison of almost all Network traffic classification algorithms.
Realted Networking and Measurement Conference deadline
Realted CCF Conference deadline
Realted AI Conference deadline
Realted AI Conference Accepted Rate
Auxiliary / Excluded from Core Traffic Sections
The following CSV entries were not merged into the core NTC/NID tables because they are auxiliary methodology or non-network-traffic security papers:
No.
Pub.
Title
Links
π© 01
TIFS
Image Steganalysis Based on Dual-Path Enhancement and Fractal Downsampling
Paper
No.
Pub.
Title
Links
π© 01
Stochastic analysis, filtering, and stochastic optimization: a commemorative volume to honor mark H. A. Davis's contributions
Developing the path signature methodology and its application to landmark- based human action recognition
Paper
Inspiration from this repository.