Automatic network traffic classification
Contribuinte(s) |
Xiang, Yang Zhou, Wanlei |
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Data(s) |
01/05/2013
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Resumo |
The thesis addresses a number of critical problems in regard to fully automating the process of network traffic classification and protocol identification. Several effective solutions based on statistical analysis and machine learning techniques are proposed, which significantly reduce the requirements for human interventions in network traffic classification systems. |
Identificador | |
Idioma(s) |
eng |
Publicador |
Deakin University, Faculty of Science, Engineering and Built Environment, School of Information Technology |
Relação |
http://dro.deakin.edu.au/eserv/DU:30063015/wang-agreement-2013.pdf http://dro.deakin.edu.au/eserv/DU:30063015/wang-automaticnetwork-2013A.pdf |
Direitos |
The Author. All Rights Reserved |
Palavras-Chave | #Network traffic classification #Automation of classifiers #Traffic classifiers #Network traffic protocols #Traffic clustering #Payload-based traffic classifiers. |
Tipo |
Thesis |