About me

Hello! I obtained my Ph.D. from the University of Chinese Academy of Science in 2019 and joined the Chinese Academy of Science in July of the same year. Currently, I hold the position of Associate Professor since 2021.

Research Interest

My research interests involve addressing security issues in networks and large-scale networked systems. By utilizing behavioural analysis, machine learning and graph embedding methodologies, we can construct 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, Di Tang, Yepeng Yao, Mingming Zha, XiaoFeng Wang, Xiaozhong Liu, Haixu Tang, Baoxu Liu. “Sherlock on Specs: Building LTE Conformance Tests through Automated Reasoning”, USENIX Security 2023. paper
2. Meng Luo, Liling Xin, Yepeng Yao, Zhengwei Jiang, Qiuyun Wang, Wenchang Shi. “Who Are Querying For Me? Egress Measurement For Open DNS Resolvers”, IEEE CSCWD 2023. paper
3. Jian Liu, Qingsai Xiao, Liling Xin, Qiuyun Wang, Yepeng Yao, Zhengwei Jiang. “M3F: A novel multi-session and multi-protocol based malware traffic fingerprinting”, Computer Networks, 2023. paper
4. Yi Chen, Di Tang, Yepeng Yao, Mingming Zha, XiaoFeng Wang, Xiaozhong Liu, Haixu Tang, Dongfang Zhao. “Seeing the forest for the trees: Understanding security hazards in the 3GPP ecosystem through intelligent analysis on change requests”, USENIX Security 2022. paper
5. Meng Luo, Yepeng Yao, Liling Xin, Zhengwei Jiang, Qiuyun Wang, Wenchang Shi. “Measurement for encrypted open resolvers: Applications and security”, Computer Networks, 2022. paper
6. Jian Liu, Qingsai Xiao, Zhengwei Jiang, Yepeng Yao, Qiuyun Wang. “Effectiveness Evaluation of Evasion Attack on Encrypted Malicious Traffic Detection”, IEEE Wireless Communications and Networking Conference (WCNC) 2022. paper
7. 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
8. Xingran Hao, Zhengwei Jiang, Qingsai Xiao, Qiuyun Wang, Yepeng Yao, Baoxu Liu, Jian Liu. “Producing more with less: A GAN-based network attack detection approach for imbalanced data”, IEEE CSCWD 2021. paper
9. Zijian Jia, Yepeng Yao, Qiuyun Wang, Xuren Wang, Baoxu Liu, Zhengwei Jiang. “Trojan traffic detection based on meta-learning”, International Conference on Computational Science (ICCS) 2021. paper
10. Meng Luo, Qiuyun Wang, Yepeng Yao, Xuren Wang, Peian Yang, Zhengwei Jiang. “Towards comprehensive detection of dns tunnels”, IEEE Symposium on Computers and Communications (ISCC) 2020. paper
11. Qingsai Xiao, Jian Liu, Quiyun Wang, Zhengwei Jiang, Xuren Wang, Yepeng Yao. “Towards network anomaly detection using graph embedding”, International Conference on Computational Science (ICCS) 2020. paper
12. Yepeng Yao, Liya Su, Zhigang Lu, Baoxu Liu. “STDeepGraph: Spatial-Temporal Deep Learning on Communication Graphs for Long-Term Network Attack Detection”, IEEE International Conference on Trust, Security And Privacy In Computing And Communications (TrustCom) 2019. paper
13. Yepeng Yao, Liya Su, Chen Zhang, Zhigang Lu, Baoxu Liu. “Marrying Graph Kernel with Deep Neural Network: A Case Study for Network Anomaly Detection”, International Conference on Computational Science (ICCS) 2019. paper
14. 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”, IEEE International Conference on Trust, Security And Privacy In Computing And Communications (TrustCom) 2019. paper
15. 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) 2018. paper
16. Liya Su, Yepeng Yao, Ning Li, Junrong Liu, Zhigang Lu, Baoxu Liu. “Hierarchical Clustering Based Network Traffic Data Reduction for Improving Suspicious Flow Detection”, IEEE International Conference on Trust, Security And Privacy In Computing And Communications (TrustCom) 2018. paper
17. Mingyi Chen, Yepeng Yao, Junrong Liu, Bo Jiang, Liya Su, Zhigang Lu. “A Novel Approach for Identifying Lateral Movement Attacks Based on Network Embedding”, IEEE ISPA 2018. paper

Education