Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/57199
Title: Botnet detection using software defined networking
Contributor(s): Wijesinghe, Udaya (author); Tupakula, Udaya  (author)orcid ; Varadharajan, Vijay (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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