Open access
Sep 2026
DUAL-HYBRID TRANSFORMER–CONVOLUTIONAL NEURAL NETWORK WITH EXPLAINABLE ARTIFICIAL INTELLIGENCE FOR ZERO-DAY INTRUSION DETECTION IN HETEROGENEOUS INTERNET OF THINGS NETWORKS
This paper proposes DB-TC-XAI, a 2-in-1 detector to merge 1D spatial features obtained by the 1D convolutional branch with 1D sequential features from traffic by the Transformer-encoder branch using the 2D bidirectional cross-attention module, and achieves competitive detection accuracy with a low false-positive rate.
Rabins Porwal, Anil Kumar Yadav, Shilpi Dubey et al.
· International journal of Com... · 0 citations