SLArDHO-Net: adaptation multi-model detection of IoT malware with self-learning dynamic hyperparameter optimization
SLArDHO-Net is presented, a multi-model framework that integrates LSTM-based temporal feature extraction with lightweight classifiers (XGBoost and Random Forest) and hyperparameter optimization, as well as the SLArDHO architecture, involves a semi-supervised learning loop, with pseudo-labels being built by confidence-t...