I received the Ph.D. degree in cyberspace security from the National University of Defense Technology in 2025. I am currently an assistant researcher with the Academy of Military Science.
My research interest includes encrypted traffic analysis, intrusion detection, network security and machine learning.
I have published many papers at the conferences and journals about network security with total 
🔥 News
- 2026.09: 🎉🎉 One paper on Large Pre-trained Model for Network Traffic Analysis has been accepted by NDSS (CCF-A)!.
- 2025.12: 🎉🎉 One paper on Network Threat Detection based on Flow Spectrum has been accepted by Journal of Software (CCF-A)!.
- 2025.09: 🎉🎉 One paper on the Model’s Robustness of Network Traffic Analysis has been accepted by IEEE T-IFS (CCF-A)!.
📝 Publications
MM4flow: A Pre-trained Multi-modal Model for Versatile Network Traffic Analysis
Luming Yang, Lin Liu*, Junjie Huang, Zhuotao Liu, Shiyu Liang, Shaojing Fu*, Yongjun Wang*
unFlowS: An Unsupervised Construction Scheme of Flow Spectrum for Network Traffic Detection
Luming Yang, Yongjun Wang*, Lin Liu*, Junjie Huang, Jiangyong Shi, Shaojing Fu*, Shize Guo
Robustness Matters: Pre-Training Can Enhance the Performance of Encrypted Traffic Analysis
Luming Yang, Lin Liu*, Junjie Huang, Jiangyong Shi, Shaojing Fu, Yongjun Wang, Jinshu Su
Detection Theory and Application Based on Flow Spectrum for Network Traffic Threat 基于流谱的网络流量威胁检测理论及应用
Luming Yang, Yongjun Wang*, Lin Liu*, Shaojing Fu, Baokang Zhao, Jinshu Su
TIFS 2025The Analysis of Encrypted Video Stream Based on Low-Dimensional Embedding Method, Luming Yang, Shaojing Fu*, Yongjun Wang*, Lin Liu, Yuchuan Luo, TIFS 2025.IWQoS 2024ExpMD: an Explainable Framework for Traffic Identification Based on Multi-Domain Features, Luming Yang, Yongjun Wang*, Lin Liu, Junjie Huang, Shaojing Fu, IWQoS 2024.SECON 2023EVS2vec: A Low-dimensional Embedding Method for Encrypted Video Stream Analysis, Luming Yang, Shaojing Fu, Yongjun Wang*, Lin Liu, Yuchuan Luo, SECON 2023.- FlowSpectrum: a concrete characterization scheme of network traffic behavior for anomaly detection, Luming Yang, Shaojing Fu*, Xuyun Zhang, Shize Guo, Yongjun Wang, Chi Yang, WWWJ 2022.
- DEV-ETA: An Interpretable Detection Framework for Encrypted Malicious Traffic, Luming Yang, Shaojing Fu*, Yongjun Wang, Kaitai Liang, Fan Mo, Bo Liu, The Computer Journal 2023.
MSN 2021A Clustering Method of Encrypted Video Traffic Based on Levenshtein Distance, Luming Yang, Shaojing Fu*, Yuchuan Luo, Yongjun Wang, Wentao Zhao, MSN 2021.ISPA 2021Packet-Sequence and Byte-Distribution is Enough for Real-Time Identification of Application Traffic, Luming Yang, Shaojing Fu*, Yongjun Wang, Chao Li, Shanghuai Feng, Yuchuang Luo, Lin Liu, ISPA 2021.MSN 2020Markov Probability Fingerprints: A Method for Identifying Encrypted Video Traffic, Luming Yang, Shaojing Fu*, Yuchaun Luo, Jiangyong Shi, MSN 2020.- Unsupervised Analysis of Encrypted Video Traffic Based on Levenshtein Distance, Luming Yang, Yingming Zeng, Shaojing Fu, Yuchuan Luo, SocialSec 2020.
DSN 2025SemiAF: Semi-Supervised App Fingerprinting on Unknown Traffic via Graph Neural Network, Xiaodong Lei, Yongjun Wang*, Lin Liu, Jun-Jie Huang, Jiangyong Shi, Luming Yang, DSN 2025.TrustCom 2023EzBoost: Fast And Secure Vertical Federated Tree Boosting Framework via EzPC, Xinwen Gao, Shaojing Fu*, Lin Liu, Yuchuan Luo, Luming Yang, TrustCom 2023.IPCCC 2022TForm-RF: An Efficient Data Augmentation for Website Fingerprinting Attack, Yongxin Chen, Yongjun Wang*, Lumming Yang, Yuchuan Luo, Mantun Chen, IPCCC 2022.
🎖 Honors and Awards
- 2025.09 CCF TCCOMM Outstanding Doctoral Dissertation Incentive Program.
📖 Educations
- 2022.03 - 2025.06, Doctor, Cyberspace Security, National University of Defense Technology, Changsha. (Supervised by Prof. Yongjun Wang)
- 2019.09 - 2022.12, Master, Cyberspace Security, National University of Defense Technology, Changsha. (Supervised by Prof. Shaojing Fu)
- 2015.09 - 2019.06, Bachelor, Information Security, National University of Defense Technology, Changsha.
💬 Invited Talks
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- 2021.03, Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vivamus ornare aliquet ipsum, ac tempus justo dapibus sit amet. | [video]
💻 Internships
- 2019.05 - 2020.02, Lorem, China.