Jiang Xie

Orcid: 0000-0003-3219-3102

Affiliations:
  • Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China
  • University of Chinese Academy of Sciences, School of Cyber Security, Beijing, China


According to our database1, Jiang Xie authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Let model keep evolving: Incremental learning for encrypted traffic classification.
Comput. Secur., February, 2024

2023
GPMT: Generating practical malicious traffic based on adversarial attacks with little prior knowledge.
Comput. Secur., 2023

Listen to Minority: Encrypted Traffic Classification for Class Imbalance with Contrastive Pre-Training.
Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023

DRDoSHunter: A Novel Approach Based on FDA and Inter-flow Features for DRDoS Detection.
Proceedings of the IEEE Symposium on Computers and Communications, 2023

2022
Detecting unknown HTTP-based malicious communication behavior via generated adversarial flows and hierarchical traffic features.
Comput. Secur., 2022

Analysis and Detection against Network Attacks in the Overlapping Phenomenon of Behavior Attribute.
Comput. Secur., 2022

RAAM: A Restricted Adversarial Attack Model with Adding Perturbations to Traffic Features.
Proceedings of the ICT Systems Security and Privacy Protection, 2022

Analysis and Detection Against Overlapping Phenomenon of Behavioral Attribute in Network Attacks.
Proceedings of the Science of Cyber Security - 4th International Conference, 2022

TrafficGCN: Mobile Application Encrypted Traffic Classification Based on GCN.
Proceedings of the IEEE Global Communications Conference, 2022

VT-GAT: A Novel VPN Encrypted Traffic Classification Model Based on Graph Attention Neural Network.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2022

2020
HSTF-Model: An HTTP-based Trojan detection model via the Hierarchical Spatio-temporal Features of Traffics.
Comput. Secur., 2020

2019
A Method of HTTP Malicious Traffic Detection on Mobile Networks.
Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, 2019

A Method Based on Hierarchical Spatiotemporal Features for Trojan Traffic Detection.
Proceedings of the 38th IEEE International Performance Computing and Communications Conference, 2019


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