2026-04-17T20:57:17Zhttps://riubu.ubu.es/oai/request

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

00925njm 22002777a 4500 dc Martínez González, Branly Alberto author Díez Bermejo, Alejandro author Pérez Sevilla, Malena author Rincón Arango, Jaime Andrés author Urda Muñoz, Daniel author 2025-11-04 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. 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 IoT Cybersecurity Flow-based Datasets NFStream Tranalyzer ToN-IoT UBU-LAB Generalization Machine learning Flow-Based IoT Datasets for Cyberattack Detection and Generalization Studies (NFStream and Tranalyzer Tools) [Dataset]