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 91–100 of 110 papers

TitleStatusHype
Applications of Artificial Intelligence, Machine Learning and related techniques for Computer Networking Systems—0
Augmentation Scheme for Dealing with Imbalanced Network Traffic Classification Using Deep Learning—0
CBR - Boosting Adaptive Classification By Retrieval of Encrypted Network Traffic with Out-of-distribution—0
CGNN: Traffic Classification with Graph Neural Network—0
Mobile Traffic Classification through Physical Channel Fingerprinting: a Deep Learning Approach—0
Classification of Traffic Using Neural Networks by Rejecting: a Novel Approach in Classifying VPN Traffic—0
Darknet Traffic Classification and Adversarial Attacks—0
Data Augmentation for Traffic Classification—0
Deep Learning and Traffic Classification: Lessons learned from a commercial-grade dataset with hundreds of encrypted and zero-day applications—0
Deep Learning Approaches for Network Traffic Classification in the Internet of Things (IoT): A Survey—0
Show:102550
← PrevPage 10 of 11Next →

No leaderboard results yet.