Botnet detection using software defined networking

Udaya Wijesinghe; Udaya Tupakula; Vijay Varadharajan

doi:10.1109/ICT.2015.7124686

Botnet detection using software defined networking

Udaya Wijesinghe, Udaya Tupakula, Vijay Varadharajan

School of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

15 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 language	English
Title of host publication	2015 22nd International Conference on Telecommunications, ICT 2015
Place of Publication	New York, NY
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	219-224
Number of pages	6
ISBN (Electronic)	9781479980789
DOIs	https://doi.org/10.1109/ICT.2015.7124686
Publication status	Published - 2015
Event	2015 22nd International Conference on Telecommunications, ICT 2015 - Sydney, Australia Duration: 27 Apr 2015 → 29 Apr 2015

Other

Other	2015 22nd International Conference on Telecommunications, ICT 2015
Country/Territory	Australia
City	Sydney
Period	27/04/15 → 29/04/15

Access to Document

10.1109/ICT.2015.7124686

Cite this

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title = "Botnet detection using software defined networking",

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.",

author = "Udaya Wijesinghe and Udaya Tupakula and Vijay Varadharajan",

year = "2015",

doi = "10.1109/ICT.2015.7124686",

language = "English",

pages = "219--224",

booktitle = "2015 22nd International Conference on Telecommunications, ICT 2015",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "2015 22nd International Conference on Telecommunications, ICT 2015 ; Conference date: 27-04-2015 Through 29-04-2015",

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Wijesinghe, U, Tupakula, U & Varadharajan, V 2015, Botnet detection using software defined networking. in 2015 22nd International Conference on Telecommunications, ICT 2015., 7124686, Institute of Electrical and Electronics Engineers (IEEE), New York, NY, pp. 219-224, 2015 22nd International Conference on Telecommunications, ICT 2015, Sydney, Australia, 27/04/15. https://doi.org/10.1109/ICT.2015.7124686

Botnet detection using software defined networking. / Wijesinghe, Udaya; Tupakula, Udaya; Varadharajan, Vijay.
2015 22nd International Conference on Telecommunications, ICT 2015. New York, NY: Institute of Electrical and Electronics Engineers (IEEE), 2015. p. 219-224 7124686.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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AB - 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.

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Botnet detection using software defined networking

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