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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🏃 We will keep updating it. 🏃
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 Conference Deadlines Auxiliary / Excluded from Core Traffic Sections
Network Traffic Classification
No. Pub. Title Links
🚩 01
ICASSP WaveFormer: Cross-Modal Fusion with Robust Multi-View Flow Representation for Encrypted Traffic Classification
Paper
🚩 02
IoT-J NetTTT: Online Self-Adaptation Inference via Test-Time Training for Encrypted Traffic Classification
Paper
🚩 03
TDSC Ultimate Encrypted Traffic Feature Engineering: HTTPS Encrypted Traffic Classification Using Restored Application Data Unit Length
Paper
🚩 04
TIFS DQSA: Dynamic Quantized Self-Attention for Multi-Task Encrypted Network Traffic Classification
Paper
🚩 05
TIFS End-to-End Open-Set Semi-Supervised Learning for Fine-Grained Encrypted Traffic Classification
Paper
🚩 06
TIFS EO-EPTC: End-to-End Original Traffic-Based Encrypted Proxy Traffic Classification Framework
Paper
🚩 07
TIFS MT-DEGCL: Multi-Task Encrypted Traffic Classification With Dual Embedding and Graph Contrastive Learning
Paper
🚩 08
TON MUFFIN: A Meta-Knowledge Decoupling-Based Approach to Few-Shot IoT Traffic Classification
Paper
🚩 09
TON When Pre-Training Meets Contrast Learning: Few-Shot Encrypted Traffic Classification With Novelty Detection
Paper
No. Pub. Title Links
🚩 01
AAAI Revolutionizing Encrypted Traffic Classification with MH-Net: A Multi-View Heterogeneous Graph Model
Paper /Code
🚩 02
CCS MM4flow: A Pre-trained Multi-modal Model for Versatile Network Traffic Analysis
Paper
🚩 03
CCS Training Robust Classifiers for Classifying Encrypted Traffic under Dynamic Network Conditions
Paper
🚩 04
Computer Networks BTG-RF: Recognizing Douyin payment behaviors based on behavioral traffic graph analysis
Paper
🚩 05
Computer Networks EAPT: An encrypted traffic classification model via adversarial pre-trained transformers
Paper
🚩 06
Computers & Security A graph representation framework for encrypted network traffic classification
Paper
🚩 07
Computers & Security Hierarchical Perception for Encrypted Traffic Classification via Class Incremental Learning
Paper
🚩 08
INFOCOM FlowMiner: A Powerful Model Based on Flow Correlation Mining for Encrypted Traffic Classification
Paper
🚩 09
IoT-J A Deep-Learning-Based Traffic Classification Method for 5G Aerial Computing Networks
Paper
🚩 10
JNCA SAT-Net: A staggered attention network using graph neural networks for encrypted traffic classification
Paper
🚩 11
SIGCOMM The Sweet Danger of Sugar: Debunking Representation Learning for Encrypted Traffic Classification
Paper
🚩 12
TIFS FG-SAT: Efficient Flow Graph for Encrypted Traffic Classification Under Environment Shifts
Paper
🚩 13
TIFS Reliable Open-Set Network Traffic Classification
Paper
🚩 14
TIFS Respond to Change With Constancy: Instruction-Tuning With LLM for Non-I.I.D. Network Traffic Classification
Paper
🚩 15
TNSE DFE: Deep Flow Embedding for Robust Network Traffic Classification
Paper
🚩 16
TON High Precision and Efficient Anonymous Traffic Classification in the Real-World
Paper
🚩 17
arXiv SoK: Decoding the Enigma of Encrypted Network Traffic Classifiers
Paper
No. Pub. Title Links
🚩 01
NOMS Encrypted Traffic Classification at Line Rate in Programmable Switches with Machine Learning
Paper
🚩 02
TON A Novel Self-Supervised Framework Based on Masked Autoencoder for Traffic Classification
Paper /Code
No. Pub. Title Links
🚩 01
AAAI Yet Another Traffic Classifier: A Masked Autoencoder Based Traffic Transformer with Multi-Level Flow Representation
Paper /Code
🚩 02
S&P Robust Multi-tab Website Fingerprinting Attacks in the Wild
Paper /Code
🚩 03
WWW TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification
Paper /Code
🚩 04
arXiv Facing Unknown: Open-World Encrypted Traffic Classification Based on Contrastive Pre-Training
Paper
🚩 05
arXiv Many or Few Samples? Comparing Transfer, Contrastive and Meta-Learning in Encrypted Traffic Classification
Paper
No. Pub. Title Links
🚩 01
— Enhancing Website Fingerprinting Attacks against Traffic Drift
—
🚩 02
— MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic Classification
—
Network Intrusion Detection
No. Pub. Title Links
🚩 01
TIFS Contextual Masking Distillation for Network Traffic Anomaly Detection
Paper
No. Pub. Title Links
🚩 01
CCS Training with Only 1.0 ‰ Samples: Malicious Traffic Detection via Cross-Modality Feature Fusion
Paper
🚩 02
FGCS WFE-Tab: Overcoming limitations of TabPFN in IIoT-MEC environments with a weighted fusion ensemble-TabPFN model for improved IDS performance
—
🚩 03
KDD Wedjat: Detecting Sophisticated Evasion Attacks via Real-time Causal Analysis
Paper
🚩 04
NDSS MineShark: Cryptomining Traffic Detection at Scale
Paper
🚩 05
TIFS Malware Traffic Classification via Expandable Class Incremental Learning With Architecture Search
Paper
🚩 06
WWW Helios: Learning and Adaptation of Matching Rules for Continual In-Network Malicious Traffic Detection
Paper /Code
🚩 07
arXiv Hierarchical Local-Global Feature Learning for Few-shot Malicious Traffic Detection
Paper
No. Pub. Title Links
🚩 01
CCS Detecting Tunneled Flooding Traffic via Deep Semantic Analysis of Packet Length Patterns
Paper
🚩 02
TIFS Enhanced Few-Shot Malware Traffic Classification via Integrating Knowledge Transfer With Neural Architecture Search
Paper
🚩 03
TON Flow Interaction Graph Analysis: Unknown Encrypted Malicious Traffic Detection
Paper
No. Pub. Title Links
🚩 01
CCS Point Cloud Analysis for ML-Based Malicious Traffic Detection: Reducing Majorities of False Positive Alarms
Paper
🚩 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
🚩 01
— TriFusion-IDS: A Multimodal Graph-Tabular-Text Contrastive Framework for Cross-Dataset Intrusion Detection
—
Related Network Traffic Measurement and Datasets
No. Pub. Title Links
🚩 01
CSUR Deep Learning on Network Traffic Prediction: Recent Advances, Analysis, and Future Directions
Paper
🚩 02
IEEE Data Descriptions Descriptor: UNSW IoT Traffic Data With Packets, Flows, and Protocols (UNSW-IoTraffic)
Paper
No. Pub. Title Links
🚩 01
IMC ReACKed QUICer: Measuring the Performance of Instant Acknowledgments in QUIC Handshakes
Paper
No. Pub. Title Links
🚩 01
— Exposing and Circumventing SNI-based QUIC Censorship of the Great Firewall of China
—
The Network traffic dataset download
CICIIOT25 datasets download1 .
UNSW-IoTraffic: Descriptor: UNSW IoT Traffic Data With Packets, Flows, and Protocols Paper .
Network traffic classification.(link coming soon) .
Comparison with state-of-the-arts
Performance comparison of almost all Network traffic classification algorithms (link coming soon) .
Related Networking and Measurement Conference deadline Related CCF Conference deadline Related AI Conference deadline Related 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
🚩 01
TIFS Image Steganalysis Based on Dual-Path Enhancement and Fractal Downsampling
Paper
No. Pub. Title Links
🚩 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.