Abstract
With the development and application of software defined network (SDN) technology, network architecture has undergone profound changes, providing more flexible and programmable ways for network management and configuration. However, the wide application of SDN has also brought new security challenges and threats, such as control plane attacks and data plane attacks. In order to ensure the security of SDN network, this paper deeply studies and analyzes the security and attack prevention in SDN. Firstly, the SDN architecture and its working principle are introduced in detail, and the security threats and attack methods in SDN network are analyzed. Secondly, the main strategies and technologies of SDN security defense are discussed, including access control, traffic monitoring and key management. Then it focuses on the application potential of deep learning technology in SDN security defense, as well as the future research direction and challenges. The purpose of this paper is to provide an effective solution for the security and reliability of SDN network, and promote the wide promotion and application of SDN technology in practical applications.