Original and processed dataset of malware propagation in IoT networks with a SIR epidemiological model

Abstract

The dataset contains the data generated by an individual SIR model in an IoT network simulated by a graph for 20 time steps. This dataset is designed for training graph-based AI models for malware propagation detection in IoT networks.