Guang-Sheng Feng

Efficient Log Anomaly Detection via Dual-Domain State Space Modeling

Log anomaly detection requires models that capture long-range event dependencies without the quadratic sequence-length cost of self-attention. We present LogMamba, a reconstruction-based model that combines a bidirectional selective state-space branch with a Multi-Scale Frequency Learner (MSFL). The sequence branch mod...

Expansion and constriction: A unified objective perspective for heterogeneous federated learning

When Logs Are No Longer Just Sequences: A Multi-view Bidirectional Graph Convolutional Network for Anomaly Detection

Industrial information service systems are becoming increasingly complex, and timely anomaly detection and diagnosis are crucial for ensuring the quality of software services. System logs constitute a direct and important source of information for anomaly detection and diagnosis. However, existing methods struggle to s...

Quantum-safe DualRing with shorter signature and public key

This paper follows the original security method of DualRing-LB and applies the trapdoor sampling technique to derive a tighter upper bound of MSIS problem, yielding a fixed security level independent of the ring size, and proposes three practical lattice-based instantiations that reduce the public key size by 56%, 67%,...