A Hybrid Autoencoder and Transformer-Based Framework for Intrusion Detection in IoT Networks
: Intrusion detection in Internet-of-Things (IoT) and enterprise networks must combine high predictive performance with reliable minority-attack recognition, leakage-safe evaluation, and deployable computational cost. This study presents an Optimized Gated Autoencoder-Transformer that preserves standardized raw flow de...