About me

Hi! I am an assistant professor on Cyberspace Security at University of Chinese Academy of Sciences, China.


Research Interest

My research interests include security problems in networks and large-scale networked systems. With behavioral analysis, machine learning and graph embedding methodologies, we can build more secure networked systems by:

  • analyzing the effects of new attack vectors such as Internet routing attacks
  • enabling the network to detect and mitigate obfuscated attacks and insider attacks instead of relying on perimeter-based and signature-based protection

Publications

  1. Yi Chen, Yepeng Yao, XiaoFeng Wang, Dandan Xu, Xiaozhong Liu, Chang Yue, Kai Chen, Haixu Tang, Baoxu Liu. “Bookworm Game: Automatic Discovery of LTE Vulnerabilities Through Documentation Analysis”, IEEE S&P 2021.paper
  2. Yepeng Yao, Liya Su, Zhigang Lu, Baoxu Liu. “STDeepGraph: Spatial-Temporal Deep Learning on Communication Graphs for Long-Term Network Attack Detection”, 2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE). IEEE, 2019: 120-127.
  3. Yepeng Yao, Liya Su, Zhigang Lu. “DeepGFL: Deep Feature Learning via Graph for Attack Detection on Flow-based Network Traffic”, IEEE Military Communications Conference (MILCOM). IEEE, 2018: 579-584.
  4. Yepeng Yao, Liya Su, Chen Zhang, Zhigang Lu, Baoxu Liu. “Marrying Graph Kernel with Deep Neural Network: A Case Study for Network Anomaly Detection”, 2019 International Conference on Computational Science. Springer, Cham, 2019: 102-115.
  5. Liya Su, Yepeng Yao, Zhigang Lu, Baoxu Liu: Understanding the Influence of Graph Kernels on Deep Learning Architecture: A Case Study of Flow-Based Network Attack Detection[C]//2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE). IEEE, 2019: 312-318.
  6. Liya Su, Yepeng Yao, Ning Li, Junrong Liu, Zhigang Lu, Baoxu Liu. Hierarchical Clustering Based Network Traffic Data Reduction for Improving Suspicious Flow Detection[C]//2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE). IEEE, 2018: 744-753. paper
  7. Mingyi Chen, Yepeng Yao, Junrong Liu, Bo Jiang, Liya Su, Zhigang Lu. “A Novel Approach for Identifying Lateral Movement Attacks Based on Network Embedding”, 2018 IEEE ISPA. IEEE, 2018: 708-715.

Achievements and Qualifications

  • In Feb. 2018, I received the “Advanced Individual” award of Institute of Information Engineering for the security support for important conference.
  • “Model Student of Outstanding Capacity” for the 2017-2018 school year, UCAS
  • “Model Student of Outstanding Capacity” for the 2016-2017 school year, UCAS

Education

YearInstituteMajorState
2015.09 – 2019.06University of Chinese Academy of Sciences (Beijing, China)Computer Software and Theory at Institute of Information EngineeringPh.D.
2010.09 – 2013.06Capital Normal University (Beijing, China)Computer Application Technology at College of Information EngineeringM.S.
2006.09 – 2010.06Capital Normal University (Beijing, China)Intelligent Science and Technology at College of Information EngineeringB.S.