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 2.41MB 1088 Title Automatic network traffic classification Author Wang, Yu orcid.org/0000-0002-9807-2293 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, Yang orcid.org/0000-0001-5252-0831 Zhou, Wanlei 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 ©The 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 (Open Access) Open Access Collection   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 Thu, 08 May 2014, 15:23:55 EST Thu, 08 May 2014, 15:59:18 EST Thu, 08 May 2014, 16:00:17 EST Mon, 02 Jun 2014, 12:04:13 EST Mon, 02 Jun 2014, 12:06:08 EST Thu, 09 Mar 2017, 07:03:24 EST Thu, 09 Mar 2017, 08:49:03 EST Mon, 13 Aug 2018, 12:12:25 EST Fri, 07 Sep 2018, 19:15:33 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 346 Abstract Views, 1093 File Downloads  -  Detailed Statistics Created: Thu, 08 May 2014, 15:23:42 EST by Belinda Lee