2026-04-21T12:04:51Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/105082025-05-30T00:05:11Zcom_10259_2604col_10259_5684
Original and processed dataset of malware propagation in IoT networks with a SIR epidemiological model
Sainz Villegas, Leticia
Casado Vara, Roberto Carlos
Basurto Hornillos, Nuño
Cambra Baseca, Carlos
Urda Muñoz, Daniel
Herrero Cosío, Álvaro
Mathematical epidemiology
Graph theory
Malware propagation
Data science
IoT network
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.
2025-05-29
2025-05-29
2025-04-21
dataset
http://hdl.handle.net/10259/10508
10.71486/r4de-dj18
eng
info:eu-repo/grantAgreement/INCIBE//AI4SECIoT/ES/Artificial Intelligence for Securing IoT Devices/
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
Atribución 4.0 Internacional
north=42.35; west=-3.706667; name=Burgos, Spain
start=2025-04; end=2025-04
Universidad de Burgos