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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 51–100 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
A General Approach for Traffic Classification in Wireless Networks Using Deep Learning—0
CGNN: Traffic Classification with Graph Neural Network—0
Time-Distributed Feature Learning in Network Traffic Classification for Internet of Things—0
Practical and Configurable Network Traffic Classification Using Probabilistic Machine LearningCode0
A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification—0
Efficient Detection of Botnet Traffic by features selection and Decision Trees—0
Active Learning for Network Traffic Classification: A Technical Study—0
Evaluating Resilience of Encrypted Traffic Classification Against Adversarial Evasion Attacks—0
Flow-Packet Hybrid Traffic Classification for Class-Aware Network Routing—0
Applications of Artificial Intelligence, Machine Learning and related techniques for Computer Networking Systems—0
Federated Traffic Synthesizing and Classification Using Generative Adversarial Networks—0
Deep Learning and Traffic Classification: Lessons learned from a commercial-grade dataset with hundreds of encrypted and zero-day applications—0
Exploring Edge TPU for Network Intrusion Detection in IoT—0
Encrypted Internet traffic classification using a supervised Spiking Neural Network—0
Heterogeneous Data-Aware Federated Learning—0
Malicious Requests Detection with Improved Bidirectional Long Short-term Memory Neural Networks—0
Malware Traffic Classification: Evaluation of Algorithms and an Automated Ground-truth Generation Pipeline—0
Machine Learning-Based Early Detection of IoT Botnets Using Network-Edge Traffic—0
IoT Malware Network Traffic Classification using Visual Representation and Deep Learning—0
Classification of Traffic Using Neural Networks by Rejecting: a Novel Approach in Classifying VPN Traffic—0
Mobile Traffic Classification through Physical Channel Fingerprinting: a Deep Learning Approach—0
MER-SDN: Machine Learning Framework for Traffic Aware Energy Efficient Routing in SDN—0
TEST: an End-to-End Network Traffic Examination and Identification Framework Based on Spatio-Temporal Features Extraction—0
On Designing Machine Learning Models for Malicious Network Traffic Classification—0
Multitask Learning for Network Traffic ClassificationCode0
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