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

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference 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	ICT 2015: 22nd International Conference on Telecommunications
Place of Publication	Piscataway, United States of America
Publisher	Institute of Electrical and Electronics Engineers
Pages	219-224
ISBN (Print)	9781479980789
DOIs	https://doi.org/10.1109/ICT.2015.7124686
Publication status	Published - 31 Dec 2015
Event	22nd International Conference on Telecommunications (ICT) - Sydney, Australia Duration: 27 Apr 2015 → 29 Apr 2015

Conference

Conference	22nd International Conference on Telecommunications (ICT)
City	Sydney, Australia
Period	27/04/15 → 29/04/15

Access to Document

10.1109/ICT.2015.7124686

https://hdl.handle.net/1959.11/57199

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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",

month = dec,

day = "31",

doi = "10.1109/ICT.2015.7124686",

language = "English",

isbn = "9781479980789",

pages = "219--224",

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

publisher = "Institute of Electrical and Electronics Engineers",

note = "22nd International Conference on Telecommunications (ICT) ; 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 ICT 2015: 22nd International Conference on Telecommunications. Institute of Electrical and Electronics Engineers, Piscataway, United States of America, pp. 219-224, 22nd International Conference on Telecommunications (ICT), 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.
ICT 2015: 22nd International Conference on Telecommunications. Piscataway, United States of America: Institute of Electrical and Electronics Engineers, 2015. p. 219-224.

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

TY - GEN

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AU - Tupakula, Udaya

AU - Varadharajan, Vijay

PY - 2015/12/31

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N2 - 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.

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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DO - 10.1109/ICT.2015.7124686

M3 - Conference contribution

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BT - ICT 2015: 22nd International Conference on Telecommunications

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CY - Piscataway, United States of America

T2 - 22nd International Conference on Telecommunications (ICT)

Y2 - 27 April 2015 through 29 April 2015

ER -

Botnet detection using software defined networking

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