An Improved Method to Unveil Malware’s Hidden Behavior
Qiang Li, Yunan Zhang, Liya Su, et al. An Improved Method to Unveil Malware Hidden Behavior. Inscrypt 2017: 362-382.
About Me Suliya
Hi! I am a 4rd year student of Ph.D. candidate Cyberspace Security at University of Chinese Academy of Sciences, China.
Research Interest
- Network Data Security
- Web Security
- Graph-Theoretic and its Application to Information Security
- Smart Contract
Publications
- 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
- Yepeng Yao, Liya Su, Zhigang Lu: DeepGFL: Deep Feature Learning via Graph for Attack Detection on Flow-based Network Traffic[C]//2018 Milcom. IEEE, 2018: 579-584.
- 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.
- Yepeng Yao, Liya Su, Chen Zhang, Zhigang Lu, Baoxu Liu. Marrying Graph Kernel with Deep Neural Network: A Case Study for Network Anomaly Detection[C]//2019 International Conference on Computational Science. Springer, Cham, 2019: 102-115.
- Yepeng Yao, Liya Su, Zhigang Lu, Baoxu Liu. STDeepGraph: Spatial-Temporal Deep Learning on Communication Graphs for Long-Term 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: 120-127.
- Qiang Li, Yunan Zhang, Liya Su, Yang Wu, Xinjian Ma, Zeming Yang. “An improved method to unveil malware’s hidden behavior” [C]// 2017 International Conference on Information Security and Cryptology. Springer, Cham, 2017: 362-382.
- Mingyi Chen, Yepeng Yao, Junrong Liu, Bo Jiang, Liya Su, Zhigang Lu. “A Novel Approach for Identifying Lateral Movement Attacks Based on Network Embedding”[C]//2018 ISPA
Achievements and Qualifications
- Won the 11th on Big Data and Computing Intelligence Contest hold by Institute of Computing Technology 2017
- Won the 23rd on Alibaba Tianchi Security algorithm Competition 2017
Education
| Year | Institute | Major | State |
|---|---|---|---|
| 2016.09 – current | University of Chinese Academy of Sciences (Beijing, China) | Cyberspace Security | PhD. Candidate |
| 2012.09 – 2016.06 | University of Science and Technology of China (Hefei, China) | Information Security in Computer Science | Graduate |
Skills
- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
- Skill 3
Publications
Hierarchical Clustering Based Network Traffic Data Reduction for Improving Suspicious Flow Detection
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.
DeepGFL: Deep Feature Learning via Graph for Attack Detection on Flow-based Network Traffic
Yepeng Yao, Liya Su, Zhigang Lu: DeepGFL: Deep Feature Learning via Graph for Attack Detection on Flow-based Network Traffic[C]//2018 Milcom. IEEE, 2018: 579-584.
A Novel Approach for Identifying Lateral Movement Attacks Based on Network Embedding
Mingyi Chen, Yepeng Yao, Junrong Liu, Bo Jiang, Liya Su, Zhigang Lu. A Novel Approach for Identifying Lateral Movement Attacks Based on Network Embedding. ISPA 2018: 708-715.
Marrying Graph Kernel with Deep Neural Network: A Case Study for Network Anomaly Detection
Yepeng Yao, Liya Su, Chen Zhang, Zhigang Lu, Baoxu Liu. Marrying Graph Kernel with Deep Neural Network: A Case Study for Network Anomaly Detection[C]//2019 International Conference on Computational Science. Springer, Cham, 2019: 102-115.
STDeepGraph: Spatial-Temporal Deep Learning on Communication Graphs for Long-Term Network Attack Detection
Yepeng Yao, Liya Su, Zhigang Lu, Baoxu Liu. STDeepGraph: Spatial-Temporal Deep Learning on Communication Graphs for Long-Term 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: 120-127.
Understanding the Influence of Graph Kernels on Deep Learning Architecture: A Case Study of Flow-Based Network Attack Detection
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.
Evil Under the Sun: Understanding and Discovering Attacks on Ethereum Decentralized Applications
Liya Su, Xinyue Shen, Xiangyu Du, Xiaojing Liao, XiaoFeng Wang, Luyi Xing, Baoxu Liu. Evil Under the Sun: Understanding and Discovering Attacks on Ethereum Decentralized Applications[C]. USENIX Security. 2021
The Janus Interface: How Fine-Tuning in Large Language Models Amplifies the Privacy Risks
Xiaoyi Chen, Siyuan Tang, Rui Zhu, Shijun Yan, Lei Jin, Zihao Wang, Liya Su, XiaoFeng Wang, Haixu Tang. The Janus Interface: How Fine-Tuning in Large Language Models Amplifies the Privacy Risks. arXiv 2023.
IntentObfuscator: A Jailbreaking Method via Confusing LLM with Prompts
Shang Shang, Zhongjiang Yao, Yepeng Yao, Liya Su, Zijing Fan, Xiaodan Zhang, Zhengwei Jiang. IntentObfuscator: A Jailbreaking Method via Confusing LLM with Prompts. In J. Garcia-Alfaro et al. (Eds.): ESORICS 2024, LNCS 14985, pp. 146-165, Springer, 2024.
Can LLMs deeply detect complex malicious queries? A framework for jailbreaking via obfuscating intent
Shang Shang, Xinqiang Zhao, Zhongjiang Yao, Yepeng Yao, Liya Su, Zijing Fan, Xiaodan Zhang, Zhengwei Jiang. Can LLMs deeply detect complex malicious queries? A framework for jailbreaking via obfuscating intent. The Computer Journal, 2024.
Detecting RAG Extraction Attack via Dual-Path Runtime Integrity Game
Yuanbo Xie, Yingjie Zhang, Yulin Li, Shouyou Song, Xiaokun Chen, Zhihan Liu, Liya Su, Tingwen Liu. Detecting RAG Extraction Attack via Dual-Path Runtime Integrity Game. In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 8503-8518, ACL 2026, San Diego, California, United States.
Talks
基于时空上下文信息的复杂恶意行为检测关键技术研究
Talk at PhD Defense, Yiyuan C1 323, Haidian, Beijing
Evil Under the Sun: Understanding and Discovering Attacks on Ethereum Decentralized Applications
Talk at USENIX Security 2021, Online
Teaching
Service and leadership
- Currently signed in to 43 different slack teams