Validation of Cybersecurity Framework for Threat Mitigation
Currently on the Internet there are many threats that threaten the security of the information of users who daily access this network using different devices that connect from their homes or organizations that in many cases do not have security controls enough and end up exposing themselves to all t...
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| Format: | Online |
| Language: | eng |
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Universidad Pedagógica y Tecnológica de Colombia
2022
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| Online Access: | https://revistas.uptc.edu.co/index.php/ingenieria/article/view/14840 |
| _version_ | 1801706100934836224 |
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| author | Llanten-Lucio, Yeison-Isaac Amador-Donado, Siler Marceles-Villalba, Katerine |
| author_facet | Llanten-Lucio, Yeison-Isaac Amador-Donado, Siler Marceles-Villalba, Katerine |
| author_sort | Llanten-Lucio, Yeison-Isaac |
| collection | OJS |
| description | Currently on the Internet there are many threats that threaten the security of the information of users who daily access this network using different devices that connect from their homes or organizations that in many cases do not have security controls enough and end up exposing themselves to all those threats that grow over time. That is why this article aims to propose the validation of a cybersecurity framework that allows mitigating and reducing risks to increase security levels through the implementation of controls for homes and organizations using emerging technologies such as: IoT, Blockchain and Deep Learning. The foregoing was carried out with the methodological approach of action research starting from the improvement of the process in search of transformation, thus obtaining as results the integration of the aforementioned methodologies for the detection of possible malicious hosts within an internal network through an intelligent analysis of the traffic that passes through the same network in order to intelligently generate rules in intrusion detection systems (IDS) in an automated way and that these rules can in turn be distributed through a secure channel using the Blockchain technology, to finally guarantee the integrity of said rules and that also allows maintaining the immutability and synchronization of the same information with all the devices connected to the framework. |
| format | Online |
| id | oai:oai.revistas.uptc.edu.co:article-14840 |
| institution | Revista Facultad de Ingeniería |
| language | eng |
| publishDate | 2022 |
| publisher | Universidad Pedagógica y Tecnológica de Colombia |
| record_format | ojs |
| spelling | oai:oai.revistas.uptc.edu.co:article-148402023-02-01T20:52:39Z Validation of Cybersecurity Framework for Threat Mitigation Validación de framework de ciberseguridad para la mitigación de amenazas Llanten-Lucio, Yeison-Isaac Amador-Donado, Siler Marceles-Villalba, Katerine Threats Bloackchain Cybersecurity Framework Risks Validation Amenazas Blockchain Ciberseguridad Framework riesgos Validación Currently on the Internet there are many threats that threaten the security of the information of users who daily access this network using different devices that connect from their homes or organizations that in many cases do not have security controls enough and end up exposing themselves to all those threats that grow over time. That is why this article aims to propose the validation of a cybersecurity framework that allows mitigating and reducing risks to increase security levels through the implementation of controls for homes and organizations using emerging technologies such as: IoT, Blockchain and Deep Learning. The foregoing was carried out with the methodological approach of action research starting from the improvement of the process in search of transformation, thus obtaining as results the integration of the aforementioned methodologies for the detection of possible malicious hosts within an internal network through an intelligent analysis of the traffic that passes through the same network in order to intelligently generate rules in intrusion detection systems (IDS) in an automated way and that these rules can in turn be distributed through a secure channel using the Blockchain technology, to finally guarantee the integrity of said rules and that also allows maintaining the immutability and synchronization of the same information with all the devices connected to the framework. Actualmente en internet se encuentran muchas amenazas que atentan a la seguridad de la información de los usuarios que diariamente acceden a esta red haciendo uso de diferentes dispositivos que se conectan desde sus hogares u organizaciones que en gran cantidad de casos no cuentan con los controles de seguridad suficientes y terminan exponiéndose a todas esas amenazas que crecen con el pasar del tiempo. Es por ello que en este artículo tiene como objetivo proponer la validación de un framework de ciberseguridad que permita mitigar y disminuir los riesgos para aumentar los niveles de seguridad a través de la implementación de controles para los hogares y organizaciones haciendo uso de tecnologías emergentes como: IoT, Blockchain y Deep Learning. Lo anterior, se llevó a cabo con el enfoque metodológico de investigación acción partiendo desde el mejoramiento de proceso en busca de transformación, obteniendo de esa manera como resultados la integración de las metodologías antes mencionadas para detección de posibles host maliciosos dentro de una red interna mediante un análisis inteligente del tráfico que transita por la misma red con el fin de generar de manera inteligente reglas en sistemas de detectores de intrusos (IDS) de forma automatizada y que a su vez estas reglas se puedan distribuirse por un canal seguro haciendo uso de la tecnología Blockchain, para finalmente garantizar la integridad de dichas reglas y que además permita mantener la inmutabilidad y la sincronización de la misma información con todos los dispositivos conectados al framework. Universidad Pedagógica y Tecnológica de Colombia 2022-10-02 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf text/xml https://revistas.uptc.edu.co/index.php/ingenieria/article/view/14840 10.19053/01211129.v31.n62.2022.14840 Revista Facultad de Ingeniería; Vol. 31 No. 62 (2022): October-December 2022 (Continuous Publication); e14840 Revista Facultad de Ingeniería; Vol. 31 Núm. 62 (2022): Octubre-Diciembre 2022 (Publicación Continua) ; e14840 2357-5328 0121-1129 eng https://revistas.uptc.edu.co/index.php/ingenieria/article/view/14840/12263 https://revistas.uptc.edu.co/index.php/ingenieria/article/view/14840/12567 Copyright (c) 2022 Yeison-Isaac Llanten-Lucio, Siler Amador-Donado, Katerine Marceles-Villalba http://creativecommons.org/licenses/by/4.0 |
| spellingShingle | Threats Bloackchain Cybersecurity Framework Risks Validation Amenazas Blockchain Ciberseguridad Framework riesgos Validación Llanten-Lucio, Yeison-Isaac Amador-Donado, Siler Marceles-Villalba, Katerine Validation of Cybersecurity Framework for Threat Mitigation |
| title | Validation of Cybersecurity Framework for Threat Mitigation |
| title_alt | Validación de framework de ciberseguridad para la mitigación de amenazas |
| title_full | Validation of Cybersecurity Framework for Threat Mitigation |
| title_fullStr | Validation of Cybersecurity Framework for Threat Mitigation |
| title_full_unstemmed | Validation of Cybersecurity Framework for Threat Mitigation |
| title_short | Validation of Cybersecurity Framework for Threat Mitigation |
| title_sort | validation of cybersecurity framework for threat mitigation |
| topic | Threats Bloackchain Cybersecurity Framework Risks Validation Amenazas Blockchain Ciberseguridad Framework riesgos Validación |
| topic_facet | Threats Bloackchain Cybersecurity Framework Risks Validation Amenazas Blockchain Ciberseguridad Framework riesgos Validación |
| url | https://revistas.uptc.edu.co/index.php/ingenieria/article/view/14840 |
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