通信学报2024，Vol.45Issue(3)：208-226,19.DOI:10.11959/j.issn.1000-436x.2024016
面向软件定义网络的异常流量检测研究综述
Survey of research on abnormal traffic detection for software defined networks
摘要
Abstract
Since software defined network(SDN)was more vulnerable to network attacks than traditional networks,the research progress of abnormal traffic detection for software defined network in recent years from the technical principle and architecture characteristics was summarized,the possible organizational forms of network attacks on SDN were ana-lyzed,and the characteristics,advantages,and disadvantages of current technologies related to abnormal traffic detection,abnormal traffic traceability,and abnormal traffic mitigation were discussed.The data sets commonly used in current re-search were compared and analyzed,and some general data preprocessing methods were sorted out.The research direc-tion of abnormal traffic detection methods in the SDN environment in the future was summarized and prospected.The research results can guide the selection of adaptation methods in practical application requirements,and the problems and contradictions to be solved can guide subsequent research.关键词
软件定义网络/深度学习/异常流量检测/异常流量溯源/异常流量缓解Key words
software defined network/deep learning/abnormal traffic detection/abnormal traffic traceability/abnormal traffic mitigation分类
信息技术与安全科学引用本文复制引用
付钰,王坤,段雪源,刘涛涛..面向软件定义网络的异常流量检测研究综述[J].通信学报,2024,45(3):208-226,19.基金项目
国家重点研发计划基金资助项目(No.2018YFB0804104) （No.2018YFB0804104）
基础加强计划技术领域基金资助项目(No.2021-JCJQ-JJ-0990) The National Key Research and Development Program of China(No.2018YFB0804104),Foundation Augmen-tation Program Technical Funding(No.2021-JCJQ-JJ-0990) （No.2021-JCJQ-JJ-0990）
