SEMIoTICA - Security Scenarios Modeling for IoT-based Agriculture Solutions

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cic.institucionOrigenLaboratorio de Investigación y Formación en Informática Avanzada (LIFIA)
cic.isFulltextSI
cic.isPeerReviewedSI
cic.lugarDesarrolloLaboratorio de Investigación y Formación en Informática Avanzada (LIFIA)
cic.parentTypeObjeto de conferencia
cic.versionAceptada
dc.date.accessioned2023-12-21T12:33:42Z
dc.date.available2023-12-21T12:33:42Z
dc.identifier.urihttps://digital.cic.gba.gob.ar/handle/11746/12155
dc.titleSEMIoTICA - Security Scenarios Modeling for IoT-based Agriculture Solutionsen
dc.typeDocumento de conferencia
dcterms.abstractAgriculture is a vital human activity contributing to sustainable development. A few decades ago, the agricultural sector introduced the Internet of Things (IoT), playing a relevant role in precision and smart farming. IoT developments in farms require a lot of connected devices working cooperatively. It increases the vulnerability of IoT devices mostly because it lacks the necessary built-in security due to their constrained context and computational capacity. Additionally, storage and data processing connecting with edge or cloud servers are the reason for many security threats. To ensure that IoT-based solutions meet functional and non-functional requirements, particularly security, software companies should adopt a security-focused approach to their specification. This paper proposes a method for specifying security scenarios integrating requirements and architecture viewpoints in the context of the IoT in agriculture solutions. The method comprises four activities. First, the description of scenarios for the intended software. After that, scenarios with incorrect system use should be described. Then, these are translated into security scenarios using a set of rules. Finally, the security scenarios are improved. Additionally, this paper describes a preliminary validation of the approach, which software engineers in Argentina and Colombia performed. The results show that the approach proposed allows software engineers to define and analyze security scenarios in the IoT and agriculture contexts with good results.en
dcterms.creator.authorHurtado, Julio Ariel
dcterms.creator.authorAntonelli, Leandro
dcterms.creator.authorLópez, Santiago
dcterms.creator.authorGómez, Adriana
dcterms.creator.authorDelle Ville, Juliana
dcterms.creator.authorZambrano, Frey Giovanny
dcterms.creator.authorSolis, Andrés
dcterms.creator.authorCamacho, Marta Cecilia
dcterms.creator.authorSolinas, Miguel
dcterms.creator.authorKaplan, Gladys
dcterms.creator.authorMuñoz, Freddy
dcterms.isPartOf.seriesDecisioning 2023. The second workshop on Collaboration in knowledge discovery and decision making (Popayán, Colombia 21 al 23 de junio de 2023)
dcterms.issued2023-06
dcterms.languageInglés
dcterms.licenseAttribution-NonCommercial-ShareAlike 4.0 International (BY-NC-SA 4.0)
dcterms.subjectIoTen
dcterms.subjectQuality Scenarioen
dcterms.subjectIoT Requirementsen
dcterms.subjectSmart Farmingen
dcterms.subjectIndustry 4.0en
dcterms.subject.materiaCiencias de la Computación e Información

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