Intrusion detection in evolving internet of things environments using decentralized data systems
A hybrid IDS framework built on a stacking ensemble of four heterogeneous base classifiers, namely random forest, extreme gradient boosting, light gradient-boosting machine, and a shallow multi-layer perceptron (MLP), coupled with a PyTorch-based neural network meta-classifier, establishing that pairing meta-learning w...