2026-04-17T13:56:33Zhttps://riubu.ubu.es/oai/request

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

Flow-Based IoT Datasets for Cyberattack Detection and Generalization Studies (NFStream and Tranalyzer Tools) [Dataset]   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 Redes informáticas-Medidas de seguridad Seguridad informática Computer networks-Security measures Computer security 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. This research was supported by the project *AI4SECIoT – Artificial Intelligence for Securing IoT Devices*, funded by the Instituto Nacional de Ciberseguridad (INCIBE) within the framework of the *Plan de Recuperación, Transformación y Resiliencia*, financed by the European Union (Next Generation EU). 2025-11-07T10:45:25Z 2025-11-07T10:45:25Z 2025-11-04 dataset info:eu-repo/semantics/acceptedVersion 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/ Atribución 4.0 Internacional http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess text/plain text/csv Universidad de Burgos