TY - GEN
T1 - Maturity Model of Response Protocols to Ransomware Scenarios in the Mining Sector
AU - Gomez, Brignith
AU - Vargas, Saul
AU - Mansilla, Juan Pablo
N1 - Publisher Copyright:
© 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - cybersecurity
KW - defense
KW - maturity model
KW - protocol
KW - ransomware
UR - https://www.scopus.com/pages/publications/85181978463
U2 - 10.1007/978-3-031-48855-9_20
DO - 10.1007/978-3-031-48855-9_20
M3 - Contribución a la conferencia
AN - SCOPUS:85181978463
SN - 9783031488542
T3 - Communications in Computer and Information Science
SP - 264
EP - 274
BT - Advanced Research in Technologies, Information, Innovation and Sustainability - 3rd International Conference, ARTIIS 2023, Proceedings
A2 - Guarda, Teresa
A2 - Portela, Filipe
A2 - Diaz-Nafria, Jose Maria
PB - Springer Science and Business Media Deutschland GmbH
T2 - 3rd International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2023
Y2 - 18 October 2023 through 20 October 2023
ER -