DocumentCode :
712949
Title :
Botnet detection using software defined networking
Author :
Wijesinghe, Udaya ; Tupakula, Udaya ; Varadharajan, Vijay
Author_Institution :
Adv. Cyber Security Res. Centre, Macquarie Univ., Sydney, NSW, Australia
fYear :
2015
fDate :
27-29 April 2015
Firstpage :
219
Lastpage :
224
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.
Keywords :
computer network management; invasive software; peer-to-peer computing; software defined networking; telecommunication traffic; transport protocols; HTTP bots; IRC bots; OpenFlow switches; SDN controller; botnet detection; control plane; data plane; network intelligence; network management; networking devices; peer-to-peer bots; programmable interface; software defined networking; traffic flow information; Control systems; Engines; Feature extraction; Filtering; IP networks; Peer-to-peer computing; Protocols; Botnet; IPFIX; SDN;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Telecommunications (ICT), 2015 22nd International Conference on
Conference_Location :
Sydney, NSW
Type :
conf
DOI :
10.1109/ICT.2015.7124686
Filename :
7124686
Link To Document :
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