| Issue |
MATEC Web Conf.
Volume 176, 2018
2018 6th International Forum on Industrial Design (IFID 2018)
|
|
|---|---|---|
| Article Number | 01026 | |
| Number of page(s) | 4 | |
| Section | Intelligent Design and Computer Technology | |
| DOI | https://doi.org/10.1051/matecconf/201817601026 | |
| Published online | 02 July 2018 | |
DDoS Attack Detection Based on Self-organizing Mapping Network in Software Defined Networking
1
School of Computer and Information Technology, Beijing Jiaotong University, 100044
Beijing, P.R. China
2
College of Information Engineering, Inner Mongolia University of Technology, 010051
Hohhot, P.R. China
*
Corresponding author : cczhao@imut.edu.cn
The software defined networking is a new kind of network architecture, the programmability of SDN enables hackers to easily launch DDoS attack on the network through software programming. To solve the problem, a DDoS attack detection scheme based on self-organizing mapping network in the software defined networking was proposed. The first is to give an early warning according to the probability of occurrence of Packet_In event. If the threshold value is exceeded, the characteristics of the flow are calculated and the self-organizing mapping network is used for clustering of eigenvalues to finally detect the DDoS attack flow. The experimental results showed that the DDoS attack detection scheme based on self-organizing mapping network was superior to the comparison scheme in detection rate and false alarm rate.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (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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