Research Development of Abnormal Traffic Detection in Software Defined Networking
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TP393

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National Natural Science Foundation of China (61672299, 61972208); Postgraduate Research & PracticeInnovation Program of Jiangsu Province

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    Abstract:

    Software defined networking (SDN) is new network architecture. SDN separates control layer from data layer and opens network interfaces to realize centralized network control and improve the scalability and the programmability of the network. But SDN is also facing a lot of network security threats. Abnormal traffic detection technologies can protect the network against malicious traffic attacks. This paper presents a comprehensive survey on the abnormal traffic detection of SDN. The possible network attacks on data plane and control plane are overviewed. Abnormal traffic detection frameworks on application plane, control plane, and intermediate platform are introduced and analyzed. The mechanisms of abnormal traffic identification, load balancing, abnormal traffic traceback, and abnormal traffic mitigation are discussed. The future work direction of SDN abnormal traffic detection is pointed out at the end.

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徐玉华,孙知信.软件定义网络中的异常流量检测研究进展.软件学报,2020,31(1):183-207

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History
  • Received:August 01,2018
  • Revised:May 08,2019
  • Adopted:
  • Online: November 07,2019
  • Published: January 06,2020
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