About Me
Yifan Han is now a Ph.D Student (the successive postgraduate and doctoral program) at SUDA Intelligent Network and Big Data Analytics Lab, School of Computer Science and Techinology, Soochow University, under the advisor of Prof. He Huang, Prof. Yu-E Sun.
Contact
yfhan@stu.suda.edu.cn
Research Interests
- Traffic Measurement
- Programmable Network
- Software-Defined Networking (SDN)
- Internet of Things (IoT)
- Machine Learning
- Deep Learning
Publications
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[1] Yifan Han, He Huang, Yu-E Sun, Jia Liu and Shigang Chen. “Expiration filter: Mining recent heavy flows in high-speed networks ”. Computer Networks. 2025, Volume 258, 111010. (CCF-B)
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[2] Yifan Han, He Huang, Yang Du, Yu-E Sun, Jia Liu and Hongli Xu. “Hierarchical Sketch: An Efficient Solution for Threshold-t Flows Measurement in High-Speed Networks”. In Proceedings of the 21st IEEE Intl Conf on Parallel & Distributed Processing with Applications (ISPA), Wuhan, China, December 21~24, 2023. (CCF C, Best Paper Award (2/377))
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[3] Yifan Han, Yang Du, Shiping Chen, He Huang and Yu-E Sun. “TSD3: A Novel Time-series-based Solution for DDoS Attack Detection”. In Proceedings of the 6th APWeb-WAIM International Joint Conference on Web and Big Data (APWeb-WAIM), Nanjing, China, November 25-27, 2022. (CCF-C)
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[4] Xiaocan Wu, He Huang, Yang Du, Yu-E Sun, and Yifan Han. “FEA-Sketch: flow entries assisted sketch for heavy flow detection in software-defined networking.” Science China Information Sciences 68, no. 3 (2025): 132103. (CCF-A)
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[5] Qian Zhou, Yu-E Sun, He Huang and Yifan Han. “CBA Sketch: A Sketching Algorithm Mining Persistent Batches in Data Streams”. In Proceedings of the 23rd International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP), Tianjin, China, October 20~22, 2023. (CCF-C)
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[6] Dongyang Yang, Yifan Han (co-first author), Yang Du, He Huang, Yu-E Sun and Shigang Chen. “LSE: A Learning-based Per-flow Spread Estimation Framework for Network Data Streams”. In Proceedings of the IEEE INFOCOM 2022-IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) (pp. 1-6). IEEE.
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[7] 杨东阳，韩轶凡，孙玉娥，李姝，杜扬，黄河. “利用深度学习的高速网络流基数估计算法”. 小型微型计算机系统. 2023, 44(9): 2068-2074. (High-speed Network Flow Cardinality Estimation Algorithm Using Deep Learning. Journal of Chinese Computer Systems. 2023, 44(9): 2068-2074)
Scientific Research Projects
- Innovation and Entrepreneurship Training Program for College Students in Jiangsu Province (202010285096Y), PI, Research on Filtering and Defense Technology of Low-Speed DDoS Attack, 08/18/2020 - 06/08/2022.
Intellectual Property Rights
- 专利 《一种低速DDoS攻击检测方法、系统及相关设备》 (Patent ``low-speed DDoS attack detection method, system and related equipment’’)
- 软件著作权 “基于多特征的流级别DDoS攻击检测系统” (Software Copyright ``Flow-level DDoS attack detection system based on multiple features’’)
Awards & Honors
- Maiweikeji Scholarship (迈为科技奖学金) in Soochow University (2023-2024)
- First Prize Scholarship in Soochow University (2023-2024)
- Outstanding Postgraduate of Soochow University (2022-2023)
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Top-tier Scholarship in Soochow University (2022-2023)
- Outstanding Undergraduate Graduates of Soochow University (2022)
- Excellent Graduation Design Team of Jiangsu Province (2022)
- Outstanding Graduation Thesis of Soochow University (2022)
- Outstanding student leaders in Soochow University (2019-2020, 2020-2021)
- Zhongyuan-Keda Scholarship (中源-科达奖学金) in Soochow University (2020-2021)
- Outstanding Learning Scholarship in Soochow University (2018-2019, 2019-2020, 2020-2021)
Education
- 2022.09-Present: Ph.D Student, Computer Science and Technology (the successive postgraduate and doctoral program), SUDA Intelligent Network and Big Data Analytics Lab, School of Computer Science and Techinology, Soochow University
- 2018.09-2022.06: B.E., Computer Science and Technology (Artificial Intelligence), School of Computer Science and Techinology, Soochow University