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dc.contributor.authorZambrano-Vizuete, Marcelo -
dc.contributor.author Minango-Negrete, Juan-
dc.contributor.authorParedes-Parada, Wladimir -
dc.contributor.author Pérez-Chimborazo, Jorge-
dc.contributor.authorZambrano-Vizuete, Ana -
dc.date.accessioned2026-08-06T14:48:53Z-
dc.date.available2026-08-06T14:48:53Z-
dc.date.issued2024-09-30-
dc.identifier.issn2662-995X-
dc.identifier.urihttps://repositorio.ister.edu.ec//handle/68000/783-
dc.descriptionAdvancements in IoT have integrated it into every aspect of human life. By using the Internet as its foundation, IoT connects a vast array of cyber-physical devices, from simple sensors to advanced servers. However, this extensive con nectivity also broadens the attack surface, increasing vulnerability to cyber threats due to the complex communication and non-standard technologies involved. The proposed response selection method addresses this by employing fuzzy logic inference at edge nodes, which processes the ambiguous data generated by IoT devices. The system evaluates four metrics: device importance, severity score, response cost, and success rate, calculated efficiently at the edge. Proximity to end devices makes edge nodes ideal for this task. Simulations reveal that the edge-based approach improves response success rates by about 5% compared to cloud-based implementations. This underscores the model’s ability to accurately and swiftly select appropriate responses, demonstrating the effectiveness of edge computing in enhancing IoT security and performancees_ES
dc.format.extent15 p.es_ES
dc.language.isoenes_ES
dc.publisherSangolquí, Ecuador. Instituto Tecnológico Universitario Rumiñahuies_ES
dc.rightsopenAccesses_ES
dc.rightsCC0 1.0 Universal*
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.subjectIOTes_ES
dc.subjectEDGEes_ES
dc.subjectFUZZYes_ES
dc.subjectCYBER-ATTACKes_ES
dc.subjectCLOUD COMPUTINGes_ES
dc.subject.otherTechnological sustainabilityes_ES
dc.subject.otherInternet of Things (IoT)es_ES
dc.titleEvaluating the Sustainability of Cerebral Edge Computing Inventiveness for Acquiring Internet of Things Substructure Autonomouslyes_ES
dc.typeArtículoes_ES
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