<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0123-3033</journal-id>
<journal-title><![CDATA[Ingeniería y competitividad]]></journal-title>
<abbrev-journal-title><![CDATA[Ing. compet.]]></abbrev-journal-title>
<issn>0123-3033</issn>
<publisher>
<publisher-name><![CDATA[Facultad de Ingeniería, Universidad del Valle]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0123-30332022000200023</article-id>
<article-id pub-id-type="doi">10.25100/iyc.v24i2.11761</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Architecture of an intelligent cybersecurity Framework based on Blockchain technology for IIoT]]></article-title>
<article-title xml:lang="es"><![CDATA[Arquitectura de un Framework de ciberseguridad inteligente basado en tecnología Blockchain para IIoT]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Llanten-Lucio]]></surname>
<given-names><![CDATA[Yeison Isaac]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Márceles-Villalba]]></surname>
<given-names><![CDATA[Katerine]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Amador-Donado]]></surname>
<given-names><![CDATA[Siler]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Institución Universitario Colegio Mayor del Cauca Faculty of Engineering, Computing Engineering Program ]]></institution>
<addr-line><![CDATA[Popayán ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad del Cauca Faculty of Electronic Engineering and Telecommunicatios ]]></institution>
<addr-line><![CDATA[Popayán ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2022</year>
</pub-date>
<volume>24</volume>
<numero>2</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0123-30332022000200023&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0123-30332022000200023&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0123-30332022000200023&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract For organizations today it is very important to have frameworks that can automate certain processes in a certain way that have additional costs for them, and it is that automation takes great importance when the processes are related to cybersecurity, since it is a critical issue that must be updated with the latest technological developments as new vulnerabilities are found over time. That is because, in this work an architecture of a cybersecurity framework based on emerging technologies is proposed that allows to automate the generation of rules and store the information of alerts generated by possible intrusions in a comprehensive way over time, all this making use of IoT devices that are securely connected and authenticated in a Blockchain that stores the entire list of rules and possible alerts generated by certain intrusions. In this way, the rules will be generated automatically by a Deep learning algorithm that is analyzing the traffic that the IoT device emits to the cloud making use of an intrusion detection systemIDS that is monitoring the traffic that passes through a certain network and saves it in a temporary on the device until it is sent to the cloud. Likewise, the architecture also proposes an application layer of which the users who can manage the IoT devices are part, as well as the configurations for their connection with the Blockchain and in the same way they can manage rules and monitoring of the traffic that is being receiving from the devices involved.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Para las organizaciones hoy en día es muy importante contar con frameworks que puedan automatizar determinados procesos que repercuten en gastos adicionales para estas mismas y es que la automatización toma mucha importancia cuando los procesos están relacionados con la ciberseguridad, dado que es un tema crítico y que debe estar actualizado con las últimas novedades tecnológicas ya que con el pasar del tiempo van encontrando nuevas vulnerabilidades. Por lo anterior, en este trabajo se propone una arquitectura de un framework ciberseguridad basado en tecnologías emergentes que permita automatizar la generación de reglas y almacenar la información de alertas generadas por posibles intrusiones de forma íntegra a través del tiempo, todo esto haciendo uso de dispositivos IoT que se encuentran conectados y autenticados de forma segura en una Blockchain que almacena todo el listado de reglas y las posibles alertas generadas por determinadas intrusiones. De este modo las reglas serán generadas automáticamente por un algoritmo de Deep learning que se encuentra analizando el tráfico que el dispositivo IoT emite hasta la nube haciendo uso de un IDS que está monitoreando el tráfico que pasa por una determina red y lo guarda de forma temporal en el dispositivo hasta que este es enviado hasta la nube. Así mismo, también la arquitectura propone una capa de aplicación de la cual hacen parte los usuarios que podrán administrar los dispositivos IoT, así como también las configuraciones para su conexión con la Blockchain y de igual forma se podrán gestionar reglas y monitoreo del tráfico que se está recibiendo por parte de los dispositivos involucrados.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Architecture]]></kwd>
<kwd lng="en"><![CDATA[Blockchain]]></kwd>
<kwd lng="en"><![CDATA[Deep learning]]></kwd>
<kwd lng="en"><![CDATA[Frameworks]]></kwd>
<kwd lng="en"><![CDATA[Internet of Things]]></kwd>
<kwd lng="es"><![CDATA[Arquitectura]]></kwd>
<kwd lng="es"><![CDATA[Blockchain]]></kwd>
<kwd lng="es"><![CDATA[Deep Learning]]></kwd>
<kwd lng="es"><![CDATA[Frameworks]]></kwd>
<kwd lng="es"><![CDATA[Internet de las cosas]]></kwd>
</kwd-group>
</article-meta>
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