Seshu Bhavani Mallampati

Intrusion Detection System using Stacking of Deep Learning Models with Bte-Lgbm for IoT Networks

A novel stacking model is proposed to identify attacks in the IoT environment by integrating four neural networks: deep neural network (DNN), recurrent neural network (RNN), RNN, long short-term memory (LSTM) and gated recurrent unit (GRU) with hyper-parameter tuned Light gradient boosting machine (BTE-LGBM).