Code and Dataset for Hybrid and Optimized Recurrent Models for Attack Detection in Intelligent Healthcare Systems

This repository provides the preprocessed dataset and source code used in the study"Hybrid and Optimized Recurrent Models for Enhancing Attack Detection in Intelligent Healthcare Systems". The dataset is derived from CICDDoS2019 and includes selected flow-based, statistical,and temporal features used to train LSTM, BiLSTM, GRU, and optimized BiLSTM models. The code implements data preprocessing, model training, evaluation, and visualization.This repository supports the reproducibility of the experimental results reported in the paper.