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Traffic Classification

Traffic Classification is a task of categorizing traffic flows into application-aware classes such as chats, streaming, VoIP, etc. Classification can be used for several purposes including policy enforcement and control or QoS management.

Source: Classification of Traffic Using Neural Networks by Rejecting: a Novel Approach in Classifying VPN Traffic

Papers

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Showing 1–50 of 110 papers

TitleStatusHype
Efficient Traffic Classification using HW-NAS: Advanced Analysis and Optimization for Cybersecurity on Resource-Constrained Devices—0
Energy-Efficient Deep Learning for Traffic Classification on Microcontrollers—0
When Simple Model Just Works: Is Network Traffic Classification in Crisis?—0
Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification—0
Intelligent Detection of Non-Essential IoT Traffic on the Home Gateway—0
FastFlow: Early Yet Robust Network Flow Classification using the Minimal Number of Time-Series Packets—0
Hierarchical Local-Global Feature Learning for Few-shot Malicious Traffic Detection—0
Large Language Models powered Malicious Traffic Detection: Architecture, Opportunities and Case Study—0
PacketCLIP: Multi-Modal Embedding of Network Traffic and Language for Cybersecurity Reasoning—0
Network Traffic Classification Using Machine Learning, Transformer, and Large Language Models—0
Universal Embedding Function for Traffic Classification via QUIC Domain Recognition Pretraining: A Transfer Learning SuccessCode1
Revolutionizing Encrypted Traffic Classification with MH-Net: A Multi-View Heterogeneous Graph ModelCode2
NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics—0
VINEVI: A Virtualized Network Vision Architecture for Smart Monitoring of Heterogeneous Applications and Infrastructures—0
Improving the network traffic classification using the Packet Vision approach—0
MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic ClassificationCode1
MERLOT: A Distilled LLM-based Mixture-of-Experts Framework for Scalable Encrypted Traffic Classification—0
Discern-XR: An Online Classifier for Metaverse Network Traffic—0
Group & Reweight: A Novel Cost-Sensitive Approach to Mitigating Class Imbalance in Network Traffic Classification—0
Packet Inspection Transformer: A Self-Supervised Journey to Unseen Malware Detection with Few Samples—0
AutoFlow: An Autoencoder-based Approach for IP Flow Record Compression with Minimal Impact on Traffic ClassificationCode0
Towards a graph-based foundation model for network traffic analysis—0
Time-Distributed Feature Learning for Internet of Things Network Traffic Classification—0
TrafficGPT: An LLM Approach for Open-Set Encrypted Traffic ClassificationCode2
Efficiently and Effectively: A Two-stage Approach to Balance Plaintext and Encrypted Text for Traffic Classification—0
Towards a Transformer-Based Pre-trained Model for IoT Traffic ClassificationCode0
Enhancing Encrypted Internet Traffic Classification Through Advanced Data Augmentation TechniquesCode0
Development of Multistage Machine Learning Classifier using Decision Trees and Boosting Algorithms over Darknet Network Traffic—0
Non-uniformity is All You Need: Efficient and Timely Encrypted Traffic Classification With ECHO—0
NetMamba: Efficient Network Traffic Classification via Pre-training Unidirectional MambaCode2
Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities—0
Generic Multi-modal Representation Learning for Network Traffic Analysis—0
FedAuxHMTL: Federated Auxiliary Hard-Parameter Sharing Multi-Task Learning for Network Edge Traffic Classification—0
CBR - Boosting Adaptive Classification By Retrieval of Encrypted Network Traffic with Out-of-distribution—0
One Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive LearningCode2
Deep Learning Approaches for Network Traffic Classification in the Internet of Things (IoT): A Survey—0
Data Augmentation for Traffic Classification—0
From Classification to Optimization: Slicing and Resource Management with TRACTOR—0
DataZoo: Streamlining Traffic Classification ExperimentsCode1
netFound: Foundation Model for Network SecurityCode1
Toward Generative Data Augmentation for Traffic Classification—0
Towards Intelligent Network Management: Leveraging AI for Network Service Detection—0
NetTiSA: Extended IP Flow with Time-series Features for Universal Bandwidth-constrained High-speed Network Traffic ClassificationCode0
Genetic Algorithm-Based Dynamic Backdoor Attack on Federated Learning-Based Network Traffic ClassificationCode0
NetDiffus: Network Traffic Generation by Diffusion Models through Time-Series ImagingCode1
Replication: Contrastive Learning and Data Augmentation in Traffic Classification Using a Flowpic Input RepresentationCode1
Listen to Minority: Encrypted Traffic Classification for Class Imbalance with Contrastive Pre-Training—0
FedEdge AI-TC: A Semi-supervised Traffic Classification Method based on Trusted Federated Deep Learning for Mobile Edge Computing—0
Privacy-preserving Few-shot Traffic Detection against Advanced Persistent Threats via Federated Meta LearningCode1
AutoML4ETC: Automated Neural Architecture Search for Real-World Encrypted Traffic ClassificationCode1
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