基于散度的网络流概念漂移分类方法
- 程光1,2,3,
- 钱德鑫1,2,3,
- 郭建伟4,
- 史海滨1,2,3,
- 吴桦1,2,3,
- 赵玉宇1,2,3
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1(东南大学网络空间安全学院 南京 211189)
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2(教育部计算机网络和信息集成重点实验室(东南大学) 南京 211189)
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3(江苏省计算机网络技术重点实验室(东南大学) 南京 211189)
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4(华为技术有限公司西安研究所 西安 710075) (gcheng@njnet.edu.cn)
基金项目: 国家重点研发计划项目(2018YFB1800602,2017YFB0801703);教育部-中国移动科研基金项目(MCM20180506);国家自然科学基金项目(61602114);赛尔网络下一代互联网技术创新项目(NGIICS20190101,NGII20170406)
详细信息
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中图分类号: TP393
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A Classification Approach Based on Divergence for Network Traffic in Presence of Concept Drift
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Cheng Guang1,2,3,
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Qian Dexin1,2,3,
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Guo Jianwei4,
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Shi Haibin1,2,3,
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Hua1,2,3,
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Zhao Yuyu1,2,3
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1(School of Cyber Science and Engineering, Southeast University, Nanjing 211189)
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2(Key Laboratory of Computer Network and Information Integration (Southeast University), Ministry of Education, Nanjing 211189)
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3(Jiangsu Provincial Key Laboratory of Computer Network Technology (Southeast University), Nanjing 211189)
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4(Xi’an Research Institute, Huawei Technologies Co., Ltd., Xi’an 710075)
Funds: This work was supported by the National Key Research and Development Program of China (2018YFB1800602, 2017YFB0801703), the Ministry of Education-China Mobile Research Fund Project (MCM20180506), the National Natural Science Foundation of China (61602114), and the CERNET Innovation Project (NGIICS20190101, NGII20170406).