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