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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 51–75 of 110 papers

TitleStatusHype
CBR - Boosting Adaptive Classification By Retrieval of Encrypted Network Traffic with Out-of-distribution—0
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
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
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
Real-time Traffic Classification for 5G NSA Encrypted Data Flows With Physical Channel Records—0
Many or Few Samples? Comparing Transfer, Contrastive and Meta-Learning in Encrypted Traffic Classification—0
On the Local Cache Update Rules in Streaming Federated Learning—0
Generative Adversarial Classification Network with Application to Network Traffic Classification—0
OMINACS: Online ML-Based IoT Network Attack Detection and Classification System—0
Multi-view Multi-label Anomaly Network Traffic Classification based on MLP-Mixer Neural Network—0
Active Learning Framework to Automate NetworkTraffic Classification—0
To Store or Not? Online Data Selection for Federated Learning with Limited Storage—0
Traffic Analytics Development Kits (TADK): Enable Real-Time AI Inference in Networking Apps—0
Segmented Learning for Class-of-Service Network Traffic ClassificationCode0
When a RF Beats a CNN and GRU, Together -- A Comparison of Deep Learning and Classical Machine Learning Approaches for Encrypted Malware Traffic ClassificationCode0
Darknet Traffic Classification and Adversarial Attacks—0
Network Traffic Anomaly Detection Method Based on Multi scale Residual Feature—0
Federated Semi-Supervised Classification of Multimedia Flows for 3D Networks—0
Deep Learning for Encrypted Traffic Classification and Unknown Data Detection—0
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