| Issue |
MATEC Web Conf.
Volume 232, 2018
2018 2nd International Conference on Electronic Information Technology and Computer Engineering (EITCE 2018)
|
|
|---|---|---|
| Article Number | 04062 | |
| Number of page(s) | 4 | |
| Section | Circuit Simulation, Electric Modules and Displacement Sensor | |
| DOI | https://doi.org/10.1051/matecconf/201823204062 | |
| Published online | 19 November 2018 | |
Software defined network intrusion detection in wireless sensor network
School of Computer and Information, Anhui Polytechnic University, 241000 Wuhu, China
a Corresponding author: 16417442@qq.com
Software Defined Network (SDN) realizes the separation of control functions from data planes and network programming. It lays the foundation for centralized and refined control and has greater advantages over traditional networks. At present, the research on SDN mainly focuses on wired network and data center, while software definition is proposed in some studies, but only in the stages of models and concepts. According to the characteristics of wireless sensor networks, this paper takes anomaly intrusion detection as the main research content. The sensor network is defined based on OpenFlow software combined with SDN, and intrusion detection technology is studies on the basis of this. It is easier for the system to control the network and its resources in SDN architecture. The Network traffic shows self-similarity in large time scale. In this paper, it can distinguish between the normal situation and the attack by observing the change of the self-similarity coefficient of the network, so as to realize the intrusion detection.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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