2026-04-17T16:25:21Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/110412025-11-07T12:46:37Zcom_10259_2604col_10259_5684

Martínez González, Branly Alberto Díez Bermejo, Alejandro Pérez Sevilla, Malena Rincón Arango, Jaime Andrés Urda Muñoz, Daniel IoT Cybersecurity Flow-based Datasets NFStream Tranalyzer ToN-IoT UBU-LAB Generalization Machine learning This repository provides flow-based IoT traffic datasets generated through NFStream and Tranalyzer for cyberattack detection and generalization studies. The datasets originate from two data sources: (1) **UBU-LAB**, representing traffic captured in controlled IoT laboratory conditions, and (2) **ToN-IoT**, a public dataset containing benign and Denial-of-Service (DoS) traffic traces (available at https://research.unsw.edu.au/projects/toniot-datasets). All datasets have been processed and structured to support experiments on flow extraction tool comparison and cross-domain generalization using Multilayer Perceptron (MLP) models. The repository contains: - Raw extracted flows for both NFStream and Tranalyzer, - Balanced datasets used in comparative studies (Paper 2), and - Datasets generated for generalization strategies (Paper 3). The data files are ready to be reused or integrated into new modelling pipelines for IoT network security research. 2025-11-07 2025-11-07 2025-11-04 dataset Martinez Gonzalez, B. A., Diez Bermejo, A., Pérez Sevilla, M., Rincon Arango, J. A., & Urda Muñoz, D. (2025). Flow-Based IoT Datasets for Cyberattack Detection and Generalization Studies (NFStream and Tranalyzer Tools) [Data set]. Universidad de Burgos. https://doi.org/10.71486/VCGM-FE66 https://hdl.handle.net/10259/11041 10.71486/vcgm-fe66 eng info:eu-repo/grantAgreement/INCIBE//MR5Ñ05/ES/Inteligencia Artificial para la Securización de Dispositivos IoT/IA4SECIoT/ http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess Atribución 4.0 Internacional Universidad de Burgos