LBMNet_cybersecurity

LBMNet-D2Q9 is a physics-inspired intrusion detection architecture that applies the principles of the Lattice Boltzmann Method to cybersecurity. By combining D2Q9 lattice encoding, streaming, Multi-Relaxation-Time (MRT) collision, and moment-based feature extraction, the network effectively learns complex traffic patterns for accurate attack detection and classification. Its lightweight and interpretable design provides a scalable and efficient solution for modern network intrusion detection systems, delivering robust performance across diverse cyberattack scenarios.