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

1. 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
2. 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.
3. 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.
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[C]//2019 International Conference on Computational Science. Springer, Cham, 2019: 102-115.
5. 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.
6. 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.
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”[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

Skills

• Skill 1
• Skill 2
  • Sub-skill 2.1
  • Sub-skill 2.2
  • Sub-skill 2.3
• Skill 3

Publications

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.

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.

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

May 12, 2021

Talk at PhD Defense, Yiyuan C1 323, Haidian, Beijing

Evil Under the Sun: Understanding and Discovering Attacks on Ethereum Decentralized Applications

August 01, 2021

Talk at USENIX Security 2021, Online

Teaching

Teaching experience 1

Teaching experience 2

Service and leadership

• Currently signed in to 43 different slack teams