3 papers
cs.CR2026
Rate-Distortion Function for Encrypted Traffic Side-Channel Defense
Guangjie Liu, Guang Cheng, Weiwei Liu +1
Parameter selection for encrypted traffic defense has long relied on empirical tuning, yet the fundamental question -- \emph{given a QoS cost budget , how low can the leakage ra…
cs.CR2026
The Inevitability of Side-Channel Leakage in Encrypted Traffic
Guangjie Liu, Guang Chen, Weiwei Liu
The widespread adoption of TLS 1.3 and QUIC has rendered payload content invisible, shifting traffic analysis toward side-channel features. However, rigorous justification for why…
cs.NI2025
IoT-AMLHP: Aligned Multimodal Learning of Header-Payload Representations for Resource-Efficient Malicious IoT Traffic Classification
Fengyuan Nie, Guangjie Liu, Weiwei Liu +2
Traffic classification is crucial for securing Internet of Things (IoT) networks. Deep learning-based methods can autonomously extract latent patterns from massive network traffic,…