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GraphMux: A graph-based framework for encrypted traffic classification
Matan Klein
, Revital Marbel
, Chen Hajaj
, Ran Dubin
, Amit Dvir
Research output
:
Contribution to journal
›
Article
›
peer-review
1
Scopus citations
Overview
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Dive into the research topics of 'GraphMux: A graph-based framework for encrypted traffic classification'. Together they form a unique fingerprint.
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Keyphrases
Graph Framework
100%
Encrypted Traffic
100%
Encrypted Traffic Classification
100%
Classification Accuracy
50%
Graph Embedding
50%
Selection Strategy
50%
Graph-based
50%
Superior Performance
50%
Interaction Patterns
50%
Packet Size
50%
Graph Representation
50%
Structural Relationship
50%
Statistical Features
50%
Starburst
50%
Well-aligned
50%
Attribute Selection
50%
Text-dependent
50%
Network Classification
50%
Graph Construction
50%
Time Direction
50%
Unified Representation
50%
Bursting Dynamics
50%
Multiple Graphs
50%
Major Challenges
50%
Encryption Protocols
50%
Graph Views
50%
Image-based Representation
50%
Flow Representation
50%
Line Graph Transformation
50%
Computer Science
Classification Accuracy
100%
Network Traffic
100%
Time Information
100%
Graph Representation
100%
Statistical Feature
100%
Attribute Selection
100%
Traffic Classification
100%
Superior Performance
100%
Selection Strategy
100%
Graph Construction
100%
Interaction Pattern
100%
Cryptography
100%
Length Information
100%