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Traffic classification

Traffic classification is an automated process which categorises computer network traffic according to various parameters (for example, based on port number or protocol) into a number of traffic classes. Each resulting traffic class can be treated differently in order to differentiate the service implied for the data generator or consumer.

Applications, Typical traffic classes & File sharing

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Overview

Typical uses

Classification methods

Encrypted traffic classification

Implementation

Typical traffic classes

File sharing

Advanced semantic analysis

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Map overview Semantic statistics

Traffic classification

Nodes35
Edges34
Triples24
Avg. degree1.94
Density0.057143
Components1

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Traffic classification

Top relations

related to Encrypted traffic classification · 5
Traffic classification → For, IP, It, Nowadays, This
is a · 1
Traffic classification → automated process which categorises computer network traffic according to various parameters

Important terminology Word statistics

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Important terminology

traffic network classification packet p2p applications best-effort example service classes protocol voip use often download class time-sensitive port various based

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Traffic classificationis aautomated process which categorises computer network traffic according to various parameters0.90text
byte frequenciesinstance ofis shown in the Independent Comparison of Popular DPI Tools for Traffic Classification.Statistical classificationRelies on statistical analysis of attributes0.80text
packet sizesinstance ofis shown in the Independent Comparison of Popular DPI Tools for Traffic Classification.Statistical classificationRelies on statistical analysis of attributes0.80text
packet inter-arrival times.Very often uses Machine Learning Algorithmsinstance ofis shown in the Independent Comparison of Popular DPI Tools for Traffic Classification.Statistical classificationRelies on statistical analysis of attributes0.80text
as K-Meansinstance ofis shown in the Independent Comparison of Popular DPI Tools for Traffic Classification.Statistical classificationRelies on statistical analysis of attributes0.80text
Naive Bayes Filterinstance ofis shown in the Independent Comparison of Popular DPI Tools for Traffic Classification.Statistical classificationRelies on statistical analysis of attributes0.80text
C4.5instance ofis shown in the Independent Comparison of Popular DPI Tools for Traffic Classification.Statistical classificationRelies on statistical analysis of attributes0.80text
C5.0instance ofis shown in the Independent Comparison of Popular DPI Tools for Traffic Classification.Statistical classificationRelies on statistical analysis of attributes0.80text
J48instance ofis shown in the Independent Comparison of Popular DPI Tools for Traffic Classification.Statistical classificationRelies on statistical analysis of attributes0.80text
or Random ForestFast techniqueinstance ofis shown in the Independent Comparison of Popular DPI Tools for Traffic Classification.Statistical classificationRelies on statistical analysis of attributes0.80text
byte frequenciesinstance ofStatistical classificationRelies on statistical analysis of attributes0.80text
packet sizesinstance ofStatistical classificationRelies on statistical analysis of attributes0.80text

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