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Author

Mingshu He

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Oct 2026

Enhancing Encrypted Traffic Detection for Social Networks With Inter-Packet Contextual Association

In social networks, encrypted communication has become increasingly prevalent to protect user privacy. However, this also provides attackers with opportunities to launch covert attacks via encrypted traffic. Traditional traffic detection methods relying on rules and payload analysis fail due to content encryption. As a...

Xiao-Wei Zhao, Ming-Shu He, Xiao-Juan Wang et al. · 0 citations
2026

HyTMTC: A Pre-Training Method for Multi-Scenario Network Traffic Classification With Hybrid Transformer-Mamba

Network traffic classification is central to security monitoring and network management in heterogeneous environments. Existing deep learning approaches are often trained for a single scenario and require large amounts of labeled data, making them difficult to reuse when applications, traffic types, or encryption setti...

Yuan-Ming Huang, Xiao-Juan Wang, Ming-Shu He · 0 citations
Conference Open access Sep 2026

Adversarial Optimization Scheme for Threat Detection Based on Hierarchical Oracle Supervision

This study introduces an adversarial training optimization framework that incorporates hierarchical label encoding and prompt learning, designed to enhance model robustness and generalization in threat detection.

Yi-Qing Luo, Ming-Shu He, Xiao-Juan Wang · 0 citations

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