Bibliographic citations
Lopez, A., Berrocal, O. (2023). MODELO PARA LA ESTIMACIÓN DEL RETORNO DE LA INVERSIÓN DE CIBERSEGURIDAD EN ESCENARIOS DE ATAQUES POR CRYPTO-MALWARE EN UNA EMPRESA DEL SECTOR FINANCIERO [Trabajo de Suficiencia Profesional, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/671981
Lopez, A., Berrocal, O. MODELO PARA LA ESTIMACIÓN DEL RETORNO DE LA INVERSIÓN DE CIBERSEGURIDAD EN ESCENARIOS DE ATAQUES POR CRYPTO-MALWARE EN UNA EMPRESA DEL SECTOR FINANCIERO [Trabajo de Suficiencia Profesional]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2023. http://hdl.handle.net/10757/671981
@misc{renati/413764,
title = "MODELO PARA LA ESTIMACIÓN DEL RETORNO DE LA INVERSIÓN DE CIBERSEGURIDAD EN ESCENARIOS DE ATAQUES POR CRYPTO-MALWARE EN UNA EMPRESA DEL SECTOR FINANCIERO",
author = "Berrocal Herrera, Oscar Junior",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2023"
}
Companies in the financial sector suffer cyber-attacks every day because they handle large amounts of money. Some of these companies are looking to invest in cybersecurity in the coming years or have already made such an investment. Despite this, many of these do not make the necessary investment and many others question whether it is necessary to continue with said investment. As a result of this, many are asking the following question: “What is the value of the return on investment in the implementation of cybersecurity controls for the financial sector against new emerging threats and what are the most appropriate programs with their respective benefits? What can they bring to the future for the organization? The purpose of the present work presented below is to show the implementation of a return-on-investment model in cybersecurity, specialized for cases of crypto-malware. That is, provide a tool that serves to verify that these investments are useful for mitigating cyber-attacks. This research focuses on the understanding of cybersecurity methodologies and advanced risk mitigation techniques, resulting in a model that is fed by inputs based on cybersecurity controls, resulting in a model with a high success rate. Finally, for validation, a survey will be carried out among cybersecurity experts from different financial entities to demonstrate that the model is acceptable.
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