Author

Ashish Seth

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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

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...

Rabins Porwal, Anil Kumar Yadav, Shilpi Dubey et al. · International journal of Com... · 0 citations

Exploring Rapid Detection of DDoS Attack in SDN Using Machine Learning Algorithms With the Classification Technique

Overall, the results show that KNIMEs no-code workflow framework can offer production-level DDoS detection comparable to conventional code-based techniques, providing a workable and extremely accurate way to safeguard programmable networks.

Sudhir Bhagat, Himanshu Gupta, Ashish Seth · 0 citations