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Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/57199
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dc.contributor.authorWijesinghe, Udayaen
dc.contributor.authorTupakula, Udayaen
dc.contributor.authorVaradharajan, Vijayen
dc.date.accessioned2024-01-08T03:51:10Z-
dc.date.available2024-01-08T03:51:10Z-
dc.date.issued2015-
dc.identifier.citationICT 2015: 22nd International Conference on Telecommunications, p. 219-224en
dc.identifier.isbn9781479980789en
dc.identifier.urihttps://hdl.handle.net/1959.11/57199-
dc.description.abstract<p>Software Defined Networking (SDN) is considered as a new approach promising simplified network management by providing a programmable interface. The idea of SDN is based on the separation of control plane from the data plane in networking devices. This is achieved by having the network intelligence centralised in what is called as SDN controller. In this paper we propose techniques for botnet detection in networks using SDN. The SDN controller makes use of generic templates for capturing the traffic flow information from the OpenFlow switches and makes use of this information for detecting bots. We will show that our model can detect a range of bots including IRC, HTTP and peer-to-peer bots.</p>en
dc.languageenen
dc.publisherInstitute of Electrical and Electronics Engineersen
dc.relation.ispartofICT 2015: 22nd International Conference on Telecommunicationsen
dc.titleBotnet detection using software defined networkingen
dc.typeConference Publicationen
dc.relation.conference22nd International Conference on Telecommunications (ICT)en
dc.identifier.doi10.1109/ICT.2015.7124686en
local.contributor.firstnameUdayaen
local.contributor.firstnameUdayaen
local.contributor.firstnameVijayen
local.profile.schoolSchool of Science & Technologyen
local.profile.emailutupakul@une.edu.auen
local.output.categoryE1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.date.conference27th - 29th April, 2015en
local.conference.placeSydney, Australiaen
local.publisher.placePiscataway, United States of Americaen
local.format.startpage219en
local.format.endpage224en
local.peerreviewedYesen
local.contributor.lastnameWijesingheen
local.contributor.lastnameTupakulaen
local.contributor.lastnameVaradharajanen
dc.identifier.staffune-id:utupakulen
local.profile.orcid0000-0001-5048-9797en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/57199en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleBotnet detection using software defined networkingen
local.output.categorydescriptionE1 Refereed Scholarly Conference Publicationen
local.conference.details22nd International Conference on Telecommunications (ICT), Sydney, Australia, 27th - 29th April, 2015en
local.search.authorWijesinghe, Udayaen
local.search.authorTupakula, Udayaen
local.search.authorVaradharajan, Vijayen
local.uneassociationNoen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.published2015en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/468973b2-ad65-4144-8e8f-eb477d45f148en
local.subject.for2020460407 System and network securityen
local.subject.seo2020220405 Cybersecurityen
local.date.start2015-04-27-
local.date.end2015-04-29-
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
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School of Science and Technology
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