publications

publiced papers.

2025

  1. (WWW25) AdvTG: An Adversarial Traffic Generation Framework to Deceive DL-Based Malicious Traffic Detection Models
    Peishuai Sun, Xiaochun Yun, Shuhao Li, and 3 more authors
    2025
  2. (Infocom2025) FlowMiner: A Powerful Model Based on FlowCorrelation Mining for Encrypted Traffic Classification
    Peishuai Sun, Xiaochun Yun, Shuhao Li, and 3 more authors
    2025
  3. Sample analysis and multi-label classification for malicious sample datasets
    Jiang Xie, Shuhao Li, Xiaochun Yun, and 2 more authors
    Comput. Networks, 2025

2024

  1. ProxyKiller: An Anonymous Proxy Traffic Attack Model Based on Traffic Behavior Graphs
    Hongbo Xu, Zhenyu Cheng, Shuhao Li, and 4 more authors
    In European Symposium on Research in Computer Security, 2024
  2. Let model keep evolving: Incremental learning for encrypted traffic classification
    Xiang Li, Jiang Xie, Qige Song, and 4 more authors
    Comput. Secur., 2024

2023

  1. Listen to Minority: Encrypted Traffic Classification for Class Imbalance with Contrastive Pre-Training
    Xiang Li, Juncheng Guo, Qige Song, and 4 more authors
    In 20th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2023, Madrid, Spain, September 11-14, 2023, 2023
  2. GPMT: Generating practical malicious traffic based on adversarial attacks with little prior knowledge
    Peishuai Sun, Shuhao Li, Jiang Xie, and 3 more authors
    Comput. Secur., 2023
  3. DRDoSHunter: A Novel Approach Based on FDA and Inter-flow Features for DRDoS Detection
    Yifei Cheng, Yujia Zhu, Rui Qin, and 2 more authors
    In IEEE Symposium on Computers and Communications, ISCC 2023, Gammarth, Tunisia, July 9-12, 2023, 2023

2022

  1. Detecting unknown HTTP-based malicious communication behavior via generated adversarial flows and hierarchical traffic features
    Xiaochun Yun, Jiang Xie, Shuhao Li, and 2 more authors
    Comput. Secur., 2022
  2. Analysis and Detection against Network Attacks in the Overlapping Phenomenon of Behavior Attribute
    Jiang Xie, Shuhao Li, Yongzheng Zhang, and 2 more authors
    Comput. Secur., 2022
  3. VT-GAT: A Novel VPN Encrypted Traffic Classification Model Based on Graph Attention Neural Network
    Hongbo Xu, Shuhao Li, Zhenyu Cheng, and 3 more authors
    In Collaborative Computing: Networking, Applications and Worksharing - 18th EAI International Conference, CollaborateCom 2022, Hangzhou, China, October 15-16, 2022, Proceedings, Part II, 2022
  4. TrafficGCN: Mobile Application Encrypted Traffic Classification Based on GCN
    Hongbo Xu, Shuhao Li, Zhenyu Cheng, and 3 more authors
    In IEEE Global Communications Conference, GLOBECOM 2022, Rio de Janeiro, Brazil, December 4-8, 2022, 2022
  5. Analysis and Detection Against Overlapping Phenomenon of Behavioral Attribute in Network Attacks
    Jiang Xie, Shuhao Li, and Peishuai Sun
    In Science of Cyber Security - 4th International Conference, SciSec 2022, Matsue, Japan, August 10-12, 2022, Revised Selected Papers, 2022
  6. RAAM: A Restricted Adversarial Attack Model with Adding Perturbations to Traffic Features
    Peishuai Sun, Shuhao Li, Jiang Xie, and 3 more authors
    In ICT Systems Security and Privacy Protection - 37th IFIP TC 11 International Conference, SEC 2022, Copenhagen, Denmark, June 13-15, 2022, Proceedings, 2022

2020

  1. HSTF-Model: An HTTP-based Trojan detection model via the Hierarchical Spatio-temporal Features of Traffics
    Jiang Xie, Shuhao Li, Xiaochun Yun, and 2 more authors
    Comput. Secur., 2020

2019

  1. A Method Based on Hierarchical Spatiotemporal Features for Trojan Traffic Detection
    Jiang Xie, Shuhao Li, Yongzheng Zhang, and 2 more authors
    In 38th IEEE International Performance Computing and Communications Conference, IPCCC 2019, London, United Kingdom, October 29-31, 2019, 2019
  2. A Method of HTTP Malicious Traffic Detection on Mobile Networks
    Jia Li, Xiaochun Yun, Mao Tian, and 4 more authors
    In 2019 IEEE Wireless Communications and Networking Conference, WCNC 2019, Marrakesh, Morocco, April 15-18, 2019, 2019