Ying Chen

TransGraphNet: A Transformer‐Graph Hybrid Deep Learning Model for DDoS Attack Detection in Heterogeneous Networks

DDoS attacks now spread across heterogeneous network environments, and this creates a concrete problem for detection systems: local or sequential models often miss complex, multi‐hop attack semantics. We propose TransGraphNet, a new end‐to‐end hybrid deep learning architecture built from three branches—Transformer ne...

FedSE-1DSqueezeNet: a lightweight federated intrusion detection system for Internet of Things

FedSE-1DSqueezeNet is proposed, a lightweight federated IDS tailored for resource-constrained IoT environments, designed to optimize feature extraction efficiency under strict resource constraints and achieves detection accuracy exceeding that of state-of-the-art models.

IDFed: A privacy-preserving collaborative intrusion detection framework based on blockchain and federated learning