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Internet of Things Platform for Assessment and Research on Cybersecurity of Smart Rural Environments

2025-08-01Artigo científico Acesso aberto
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dc.contributor.authorSernández-Iglesias, Daniel
dc.contributor.authorTobarra, Llanos
dc.contributor.authorPastor-Vargas, Rafael
dc.contributor.authorRobles-Gómez, Antonio
dc.contributor.authorVidal-Balboa, Pedro
dc.contributor.authorSarraipa, João
dc.contributor.institutionUNINOVA-Instituto de Desenvolvimento de Novas Tecnologias
dc.contributor.pblMDPI - Multidisciplinary Digital Publishing Institute
dc.date.accessioned2026-01-14T15:53:13Z
dc.date.available2026-01-14T15:53:13Z
dc.date.issued2025-08-01
dc.descriptionPublisher Copyright: © 2025 by the authors.
dc.description.abstractRural regions face significant barriers to adopting IoT technologies, due to limited connectivity, energy constraints, and poor technical infrastructure. While urban environments benefit from advanced digital systems and cloud services, rural areas often lack the necessary conditions to deploy and evaluate secure and autonomous IoT solutions. To help overcome this gap, this paper presents the Smart Rural IoT Lab, a modular and reproducible testbed designed to replicate the deployment conditions in rural areas using open-source tools and affordable hardware. The laboratory integrates long-range and short-range communication technologies in six experimental scenarios, implementing protocols such as MQTT, HTTP, UDP, and CoAP. These scenarios simulate realistic rural use cases, including environmental monitoring, livestock tracking, infrastructure access control, and heritage site protection. Local data processing is achieved through containerized services like Node-RED, InfluxDB, MongoDB, and Grafana, ensuring complete autonomy, without dependence on cloud services. A key contribution of the laboratory is the generation of structured datasets from real network traffic captured with Tcpdump and preprocessed using Zeek. Unlike simulated datasets, the collected data reflect communication patterns generated from real devices. Although the current dataset only includes benign traffic, the platform is prepared for future incorporation of adversarial scenarios (spoofing, DoS) to support AI-based cybersecurity research. While experiments were conducted in an indoor controlled environment, the testbed architecture is portable and suitable for future outdoor deployment. The Smart Rural IoT Lab addresses a critical gap in current research infrastructure, providing a realistic and flexible foundation for developing secure, cloud-independent IoT solutions, contributing to the digital transformation of rural regions.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent26
dc.format.extent1058197
dc.identifier.doi10.3390/fi17080351
dc.identifier.issn1999-5903
dc.identifier.otherPURE: 147899353
dc.identifier.otherPURE UUID: 258f20ca-ed3a-4439-bcc7-500adb5698b1
dc.identifier.otherScopus: 105014469804
dc.identifier.otherWOS: 001558322700001
dc.identifier.urihttp://hdl.handle.net/10362/199021
dc.identifier.urlhttps://www.scopus.com/pages/publications/105014469804
dc.identifier.urlhttps://www.webofscience.com/wos/woscc/full-record/WOS:001558322700001
dc.language.isoeng
dc.peerreviewedyes
dc.subjectDataset generation
dc.subjectInternet of things
dc.subjectIoT
dc.subjectIoT laboratory
dc.subjectSensor networks
dc.subjectSmart rural
dc.subjectComputer Networks and Communications
dc.titleInternet of Things Platform for Assessment and Research on Cybersecurity of Smart Rural Environmentsen
dc.typejournal article
degois.publication.firstPage1
degois.publication.issue8
degois.publication.lastPage26
degois.publication.titleFuture Internet
degois.publication.volume17
dspace.entity.typePublication
rcaap.rightsopenAccess

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