2026-07-20T10:18:24Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/105082025-05-30T00:05:11Zcom_10259_2604col_10259_5684

Sainz Villegas, Leticia Casado Vara, Roberto Carlos Basurto Hornillos, Nuño Cambra Baseca, Carlos Urda Muñoz, Daniel Herrero Cosío, Álvaro 2025-05-29T11:52:40Z 2025-05-29T11:52:40Z 2025-04-21 http://hdl.handle.net/10259/10508 10.71486/r4de-dj18 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. eng http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess Atribución 4.0 Internacional Mathematical epidemiology Graph theory Malware propagation Data science IoT network Original and processed dataset of malware propagation in IoT networks with a SIR epidemiological model dataset