HADS-Net: A Hybrid Attention-Based Deep Security Network for Network Intrusion Detection
The principal contribution of this work is architectural and diagnostic rather than a performance improvement: it documents that combining feature-wise attention with out-of-fold stacked generalization does not, in this setting, outperform a plain multi-layer perceptron, while incurring the highest memory footprint of the six models evaluated.