Traffic Classification

Description from the archive archive 2025-07-28.

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Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

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Most implemented papers archive 2025-07-28

30 shown of 31 papers with code (110 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Deep Packet: A Novel Approach For Encrypted Traffic Classification Using Deep Learning
  8 Sep 2017 5 repositories listed
  Our proposed scheme, called "Deep Packet," can handle both \emph{traffic characterization} in which the network traffic is categorized into major classes (\eg, FTP and P2P) and application identification in which…
• Universal Embedding Function for Traffic Classification via QUIC Domain Recognition Pretraining: A Transfer Learning Success
  18 Feb 2025 1 repository listed
  We first pretrain an embedding model on a complex task with a large number of classes and then transfer it to five well-known TC datasets.
• Revolutionizing Encrypted Traffic Classification with MH-Net: A Multi-View Heterogeneous Graph Model
  5 Jan 2025 1 repository listed
  With the growing significance of network security, the classification of encrypted traffic has emerged as an urgent challenge.
• MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic Classification
  19 Dec 2024 1 repository listed
  Network traffic includes data transmitted across a network, such as web browsing and file transfers, and is organized into packets (small units of data) and flows (sequences of packets exchanged between two endpoints).
• AutoFlow: An Autoencoder-based Approach for IP Flow Record Compression with Minimal Impact on Traffic Classification
  17 Sep 2024 1 repository listed
  Network monitoring generates massive volumes of IP flow records, posing significant challenges for storage and analysis.
• TrafficGPT: An LLM Approach for Open-Set Encrypted Traffic Classification
  6 Aug 2024 1 repository listed
  We use five existing encrypted traffic datasets to show how the feature extraction by GPT-2 improves the open-set performance of traffic analysis attacks compared to ET-BERT and CNN-based approaches by 12.
• Towards a Transformer-Based Pre-trained Model for IoT Traffic Classification
  26 Jul 2024 1 repository listed
  The classification of IoT traffic is important to improve the efficiency and security of IoT-based networks.
• Enhancing Encrypted Internet Traffic Classification Through Advanced Data Augmentation Techniques
  23 Jul 2024 1 repository listed
  We propose two Data Augmentation (DA) techniques to synthetically generate data based on real samples: Average augmentation and MTU augmentation.
• NetMamba: Efficient Network Traffic Classification via Pre-training Unidirectional Mamba
  19 May 2024 1 repository listed
  In addition, we design a traffic representation scheme to extract valid information from massive traffic data while removing biased information.
• One Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning
  12 Feb 2024 1 repository listed
  In particular, we utilize supervised contrastive learning to enhance the packet-level and flow-level representations and perform graph data augmentation on the byte-level traffic graph so that the fine-grained…
• DataZoo: Streamlining Traffic Classification Experiments
  30 Oct 2023 1 repository listed
  The DataZoo toolset simplifies the creation of realistic evaluation scenarios, making it easier to cross-compare classification methods and reproduce results.
• netFound: Foundation Model for Network Security
  25 Oct 2023 1 repository listed
  This lack of progress can be attributed to an overreliance on supervised learning techniques and the associated challenges of curating well-specified labeled training data.
• NetTiSA: Extended IP Flow with Time-series Features for Universal Bandwidth-constrained High-speed Network Traffic Classification
  9 Oct 2023 1 repository listed
  Network traffic monitoring based on IP Flows is a standard monitoring approach that can be deployed to various network infrastructures, even the large IPS-based networks connecting millions of people.
• Genetic Algorithm-Based Dynamic Backdoor Attack on Federated Learning-Based Network Traffic Classification
  27 Sep 2023 1 repository listed
  In this paper, we propose GABAttack, a novel genetic algorithm-based backdoor attack against federated learning for network traffic classification.
• NetDiffus: Network Traffic Generation by Diffusion Models through Time-Series Imaging
  23 Sep 2023 1 repository listed
  Network data analytics are now at the core of almost every networking solution.
• Replication: Contrastive Learning and Data Augmentation in Traffic Classification Using a Flowpic Input Representation
  18 Sep 2023 1 repository listed
  Over the last years we witnessed a renewed interest toward Traffic Classification (TC) captivated by the rise of Deep Learning (DL).
• Privacy-preserving Few-shot Traffic Detection against Advanced Persistent Threats via Federated Meta Learning
  11 Aug 2023 1 repository listed
  Extensive experiments based on multiple benchmark datasets like CICIDS2017 and DAPT 2020 prove the superiority of proposed PFTD.
• AutoML4ETC: Automated Neural Architecture Search for Real-World Encrypted Traffic Classification
  4 Aug 2023 1 repository listed
  However, in production use, it has been shown that a DL classifier's performance inevitably decays over time.
• TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification
  31 Jul 2023 1 repository listed
  Encrypted traffic classification is receiving widespread attention from researchers and industrial companies.
• Network Traffic Classification based on Single Flow Time Series Analysis
  25 Jul 2023 1 repository listed
  Network traffic monitoring using IP flows is used to handle the current challenge of analyzing encrypted network communication.
• MTC: A Multi-Task Model for Encrypted Network Traffic Classification Based on Transformer and 1D-CNN
  29 Apr 2023 1 repository listed
  Convolutional Neural Network (CNN) and Transformer are deep learning-based approaches for network traffic classification.
• NetGPT: Generative Pretrained Transformer for Network Traffic
  19 Apr 2023 1 repository listed
  Pretrained models for network traffic can utilize large-scale raw data to learn the essential characteristics of network traffic, and generate distinguishable results for input traffic without considering specific…
• Segmented Learning for Class-of-Service Network Traffic Classification
  3 Aug 2022 1 repository listed
  The commonality of statistical features among the network flow segments motivates us to propose novel segmented learning that includes essential vector representation and a simple-segment method of classification.
• Open-Source Framework for Encrypted Internet and Malicious Traffic Classification
  21 Jun 2022 1 repository listed
  Internet traffic classification plays a key role in network visibility, Quality of Services (QoS), intrusion detection, Quality of Experience (QoE) and traffic-trend analyses.
• When a RF Beats a CNN and GRU, Together -- A Comparison of Deep Learning and Classical Machine Learning Approaches for Encrypted Malware Traffic Classification
  16 Jun 2022 1 repository listed
  Internet traffic classification is widely used to facilitate network management.
• ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification
  13 Feb 2022 1 repository listed
  In this paper, we propose a new traffic representation model called Encrypted Traffic Bidirectional Encoder Representations from Transformer (ET-BERT), which pre-trains deep contextualized datagram-level representation…
• A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic Classification
  11 Feb 2022 1 repository listed
  Traffic classification, i.
• Practical and Configurable Network Traffic Classification Using Probabilistic Machine Learning
  10 Jul 2021 1 repository listed
  Network traffic classification that is widely applicable and highly accurate is valuable for many network security and management tasks.
• Deep Learning for Network Traffic Classification
  2 Jun 2021 1 repository listed
  We propose a classification technique using an ensemble of deep learning architectures on packet, payload, and inter-arrival time sequences.
• Vehicle Position Estimation with Aerial Imagery from Unmanned Aerial Vehicles
  17 Apr 2020 1 repository listed
  A robust object detection is crucial for reliable results, hence the state-of-the-art deep neural network Mask-RCNN is applied for that purpose.