Affiliation:
1. Department of Computer Engineering Dongguan Polytechnic Dongguan, P. R. China
2. Department of Information Engineering Gannan University of Science and Technology Ganzhou, P. R. China
Abstract
Software-defined network (SDN) is a new network structure, which has the characteristics of centralized management and programmable, and is widely used in the field of Internet of things. Distributed denial of service (DDoS) attack is one of the most threatening attacks in SDN network. How to effectively detect DDoS attacks has become a research hotspot in the field of SDN security management. Aiming at the above problems, this paper proposes a DDoS attack detection method based on Deep belief network (DBN) in SDN network architecture. By extracting the characteristics of OpenFlow switch flow table entries, DBN algorithm is trained to detect whether there are DDoS attacks. The experimental results show that the method is better than the other algorithms in accuracy, precision and recall.
Funder
Special program for key fields of colleges and universities of Guangdong Provincial Department of Education
the Special project of intelligent terminal and intelligent manufacturing of Dongguan vocational and technical college in 2021
the Dongguan Science and Technology of Social Development Program
Publisher
World Scientific Pub Co Pte Ltd
Cited by
3 articles.
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