https://hdl.handle.net/1959.11/57199
Title: | Botnet detection using software defined networking |
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Contributor(s): | Wijesinghe, Udaya (author); Tupakula, Udaya (author)![]() |
Publication Date: | 2015 |
DOI: | 10.1109/ICT.2015.7124686 |
Handle Link: | https://hdl.handle.net/1959.11/57199 |
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. |
Publication Type: | Conference Publication |
Conference Details: | 22nd International Conference on Telecommunications (ICT), Sydney, Australia, 27th - 29th April, 2015 |
Source of Publication: | ICT 2015: 22nd International Conference on Telecommunications, p. 219-224 |
Publisher: | Institute of Electrical and Electronics Engineers |
Place of Publication: | Piscataway, United States of America |
Fields of Research (FoR) 2020: | 460407 System and network security |
Socio-Economic Objective (SEO) 2020: | 220405 Cybersecurity |
Peer Reviewed: | Yes |
HERDC Category Description: | E1 Refereed Scholarly Conference Publication |
Appears in Collections: | Conference Publication School of Science and Technology |
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