Maturity Model of Response Protocols to Ransomware Scenarios in the Mining Sector

Brignith Gomez, Saul Vargas, Juan Pablo Mansilla

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

The Maturity Model for Defense Protocols against Ransomware Scenarios in the mining sector is a useful tool to assess an organization’s level of preparedness against ransomware attacks and design effective strategies to mitigate their impacts. This model, based on the NIST methodology and the ISO 27001 AND 27002 Standards, and the experience of cybersecurity experts, consists of five levels of maturity that go from initial adoption to defense optimization. The Initial level focuses on risk awareness and basic preparation. The Managed level focuses on the protection of critical data and systems, while the Defined level, focuses on early detection and response to incidents. The Managed level seeks response automation and collaboration with third parties, while Optimized level, focuses on continuous improvement and innovation. For each level, achieve the characteristics and objectives allow organizations to assess their current position and establish action plans to improve their readiness. Some recommended best practices include ongoing employee training, implementing technical security measures, conducting incident simulations, adopting backup and recovery solutions, and collaborating with cybersecurity service providers. In summary, the Maturity Model for Ransomware Defense Protocols is a valuable tool to help organizations improve their ability to resist and recover from ransomware attacks. Its focus on best practices and continuous improvement makes it a reference in the field of cybersecurity.

Idioma originalInglés
Título de la publicación alojadaAdvanced Research in Technologies, Information, Innovation and Sustainability - 3rd International Conference, ARTIIS 2023, Proceedings
EditoresTeresa Guarda, Filipe Portela, Jose Maria Diaz-Nafria
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas264-274
Número de páginas11
ISBN (versión impresa)9783031488542
DOI
EstadoPublicada - 2024
Evento3rd International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2023 - Madrid, Espana
Duración: 18 oct. 202320 oct. 2023

Serie de la publicación

NombreCommunications in Computer and Information Science
Volumen1936
ISSN (versión impresa)1865-0929
ISSN (versión digital)1865-0937

Conferencia

Conferencia3rd International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2023
País/TerritorioEspana
CiudadMadrid
Período18/10/2320/10/23

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