Exploring IoT Vulnerabilities in a Comprehensive Remote Cybersecurity Laboratory

Delgado, Ismael, Sancristobal, Elio, Martin, Sergio y Robles-Gómez, Antonio . (2023) Exploring IoT Vulnerabilities in a Comprehensive Remote Cybersecurity Laboratory. Sensors 2023, 23, 9279

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Título Exploring IoT Vulnerabilities in a Comprehensive Remote Cybersecurity Laboratory
Autor(es) Delgado, Ismael
Sancristobal, Elio
Martin, Sergio
Robles-Gómez, Antonio
Materia(s) Informática Industrial
Abstract With the rapid proliferation of Internet of things (IoT) devices across various sectors, ensuring robust cybersecurity practices has become paramount. The complexity and diversity of IoT ecosystems pose unique security challenges that traditional educational approaches often fail to address comprehensively. Current curricula may provide theoretical knowledge but typically lack the practical components necessary for students to engage with real-world cybersecurity scenarios. This gap hinders the development of proficient cybersecurity professionals capable of securing complex IoT infrastructures. To bridge this educational divide, a remote online laboratory was developed, allowing students to gain hands-on experience in identifying and mitigating cybersecurity threats in an IoT context. This virtual environment simulates real IoT ecosystems, enabling students to interact with actual devices and protocols while practicing various security techniques. The laboratory is designed to be accessible, scalable, and versatile, offering a range of modules from basic protocol analysis to advanced threat management. The implementation of this remote laboratory demonstrated significant benefits, equipping students with the necessary skills to confront and resolve IoT security issues effectively. Our results show an improvement in practical cybersecurity abilities among students, highlighting the laboratory’s efficacy in enhancing IoT security education.
Palabras clave cybersecurity
Internet of things (IoT)
Industry 4.0
remote experimentation
distance laboratories
Editor(es) MDPI
Fecha 2023
Formato application/pdf
Identificador bibliuned:DptoIEEC-ETSI-Articulos-Smartin-0001
http://e-spacio.uned.es/fez/view/bibliuned:DptoIEEC-ETSI-Articulos-Smartin-0001
DOI - identifier https://doi.org/10.3390/s23229279
ISSN - identifier 1424-8220
Nombre de la revista Sensors
Número de Volumen 23
Publicado en la Revista Sensors 2023, 23, 9279
Idioma eng
Versión de la publicación publishedVersion
Tipo de recurso Article
Derechos de acceso y licencia http://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
Tipo de acceso Acceso abierto
Notas adicionales The registered version of this article, first published in Sensors, is available online at the publisher's website: MDPI, https://doi.org/10.3390/s23229279
Notas adicionales La versión registrada de este artículo, publicado por primera vez en Sensors, está disponible en línea en el sitio web del editor: MDPI, https://doi.org/10.3390/s23229279

 
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Creado: Thu, 18 Jan 2024, 23:54:51 CET