SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–75 of 110 papers

TitleStatusHype
Malware Traffic Classification: Evaluation of Algorithms and an Automated Ground-truth Generation Pipeline—0
Many or Few Samples? Comparing Transfer, Contrastive and Meta-Learning in Encrypted Traffic Classification—0
MERLOT: A Distilled LLM-based Mixture-of-Experts Framework for Scalable Encrypted Traffic Classification—0
Multi-view Multi-label Anomaly Network Traffic Classification based on MLP-Mixer Neural Network—0
Net2Vec: Deep Learning for the Network—0
NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics—0
Network Traffic Anomaly Detection Method Based on Multi scale Residual Feature—0
Network Traffic Classification Using Machine Learning, Transformer, and Large Language Models—0
Non-uniformity is All You Need: Efficient and Timely Encrypted Traffic Classification With ECHO—0
OMINACS: Online ML-Based IoT Network Attack Detection and Classification System—0
On Designing Machine Learning Models for Malicious Network Traffic Classification—0
To Store or Not? Online Data Selection for Federated Learning with Limited Storage—0
On the Local Cache Update Rules in Streaming Federated Learning—0
Outlier detection on network flow analysis—0
PacketCLIP: Multi-Modal Embedding of Network Traffic and Language for Cybersecurity Reasoning—0
Real-time Traffic Classification for 5G NSA Encrypted Data Flows With Physical Channel Records—0
Real Time Video Quality Representation Classification of Encrypted HTTP Adaptive Video Streaming - the Case of Safari—0
Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification—0
Packet Inspection Transformer: A Self-Supervised Journey to Unseen Malware Detection with Few Samples—0
TEST: an End-to-End Network Traffic Examination and Identification Framework Based on Spatio-Temporal Features Extraction—0
Time-Distributed Feature Learning for Internet of Things Network Traffic Classification—0
Time-Distributed Feature Learning in Network Traffic Classification for Internet of Things—0
Toward Generative Data Augmentation for Traffic Classification—0
Towards a graph-based foundation model for network traffic analysis—0
Towards Intelligent Network Management: Leveraging AI for Network Service Detection—0
Show:102550
← PrevPage 3 of 5Next →

No leaderboard results yet.