collaborators

5 papers

cs.CR2026

Inevitability of Encrypted Traffic Side-Channel Leakage in the Multi-Class Setting

Guangjie Liu, Guang Cheng, Weiwei Liu

The Side-Channel Existence Theorem proves in the binary, undefended setting, but is confined to pairwise arguments and ignores active defenses. We extend it to class…

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

A Queueing-Stability Criterion for Causal IPD-QIM Network Flow Watermarking

Jiuxiang Cao, Guang Cheng, Guangjie Liu

On multi-hop encrypted links such as Tor and cascaded VPNs, tunneling flattens packet lengths and protocol fields, leaving inter-packet delay (IPD) as the main carrier for active f…

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,…