Botnet detection using software defined networking

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

6 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2015 22nd International Conference on Telecommunications, ICT 2015
Place of PublicationNew York, NY
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages219-224
Number of pages6
ISBN (Electronic)9781479980789
DOIs
Publication statusPublished - 2015
Event2015 22nd International Conference on Telecommunications, ICT 2015 - Sydney, Australia
Duration: 27 Apr 201529 Apr 2015

Other

Other2015 22nd International Conference on Telecommunications, ICT 2015
CountryAustralia
CitySydney
Period27/04/1529/04/15

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  • Cite this

    Wijesinghe, U., Tupakula, U., & Varadharajan, V. (2015). Botnet detection using software defined networking. In 2015 22nd International Conference on Telecommunications, ICT 2015 (pp. 219-224). [7124686] New York, NY: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICT.2015.7124686