Temporal and Multimodal Deep Learning for Cyberattack Detection in LEO Satellite Systems
This work investigates structured learning architectures that preserve hardware, orbital, and RF information, including a Subsystem-Fusion MLP and a hierarchical multimodal Transformer that models both cross-subsystem interactions and temporal evolution and demonstrates the value of structured multimodal modeling and r...