You are not logged in.
Openly accessible

Automatic network traffic classification

Wang, Yu 2013, Automatic network traffic classification, Ph.D thesis, School of Information Technology, Deakin University.

Attached Files
Name Description MIMEType Size Downloads
wang-automaticnetwork-2013A.pdf Connect to thesis application/pdf 1.57MB 677

Title Automatic network traffic classification
Author Wang, Yu
Institution Deakin University
School School of Information Technology
Faculty Faculty of Science, Engineering and Built Environment
Degree type Research doctorate
Degree name Ph.D
Thesis advisor Xiang, YangORCID iD for Xiang, Yang orcid.org/0000-0001-5252-0831
Zhou, WanleiORCID iD for Zhou, Wanlei orcid.org/0000-0002-1680-2521
Date submitted 2013-05
Keyword(s) Network traffic classification
Automation of classifiers
Traffic classifiers
Network traffic protocols
Traffic clustering
Payload-based traffic classifiers.
Summary 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.
Language eng
Field of Research 080303 Computer System Security
080503 Networking and Communications
Socio Economic Objective 890202 Application Tools and System Utilities
Description of original IX, 149, xviii pages : diagrams, graphs, tables, some coloured
Copyright notice ┬ęThe Author. All Rights Reserved
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30063015

Document type: Thesis
Collections: Higher degree theses (full text)
Open Access Collection
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 150 Abstract Views, 681 File Downloads  -  Detailed Statistics
Created: Thu, 08 May 2014, 15:23:42 EST by Belinda Lee

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.