Rabins Porwal

DUAL-HYBRID TRANSFORMER–CONVOLUTIONAL NEURAL NETWORK WITH EXPLAINABLE ARTIFICIAL INTELLIGENCE FOR ZERO-DAY INTRUSION DETECTION IN HETEROGENEOUS INTERNET OF THINGS NETWORKS

Rapid growth of the heterogeneous Internet of Things (IoT) network has expanded the attack surface that malwares have to face , while traditional single-architecture deep learning Intrusion Detection System (IDS) are unable to defend themselves against zero-day attacks. Current convolutional or recurrent detectors focu...