Classification of encrypted cloud computing service traffic using data mining techniques

dc.contributor.advisorGhosh, Joydeepen
dc.creatorQian, Chengen
dc.date.accessioned2012-02-27T15:46:23Zen
dc.date.available2012-02-27T15:46:23Zen
dc.date.issued2011-12en
dc.date.submittedDecember 2011en
dc.date.updated2012-02-27T15:46:29Zen
dc.descriptiontexten
dc.description.abstractIn addition to the wireless network providers’ need for traffic classification, the need is more and more common in the Cloud Computing environment. A data center hosting Cloud Computing services needs to apply priority policies and Service Level Agreement (SLA) rules at the edge of its network. Overwhelming requirements about user privacy protection and the trend of IPv6 adoption will contribute to the significant growth of encrypted Cloud Computing traffic. This report presents experiments focusing on application of data mining based Internet traffic classification methods to classify encrypted Cloud Computing service traffic. By combining TCP session level attributes, client and host connection patterns and Cloud Computing service Message Exchange Patterns (MEP), the best method identified in this report yields 89% overall accuracy.en
dc.description.departmentElectrical and Computer Engineeringen
dc.format.mimetypeapplication/pdfen
dc.identifier.slug2152/ETD-UT-2011-12-4836en
dc.identifier.urihttp://hdl.handle.net/2152/ETD-UT-2011-12-4836en
dc.language.isoengen
dc.subjectInternet traffic classificationen
dc.subjectData miningen
dc.subjectCloud computingen
dc.titleClassification of encrypted cloud computing service traffic using data mining techniquesen
dc.type.genrethesisen
thesis.degree.departmentElectrical and Computer Engineeringen
thesis.degree.disciplineElectrical and Computer Engineeringen
thesis.degree.grantorUniversity of Texas at Austinen
thesis.degree.levelMastersen
thesis.degree.nameMaster of Science in Engineeringen

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