Citas bibligráficas
Ochoa, R., Ticse, D. (2022). Modelo de cuantificación financiera para escenarios de ransomware para el sector financiero [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/668246
Ochoa, R., Ticse, D. Modelo de cuantificación financiera para escenarios de ransomware para el sector financiero [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2022. http://hdl.handle.net/10757/668246
@misc{renati/405986,
title = "Modelo de cuantificación financiera para escenarios de ransomware para el sector financiero",
author = "Ticse Lopez, Diego Alonso",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2022"
}
The great technological growth in recent years has allowed companies to obtain a wide range of possibilities to support their business processes and acquire tools that allow them to add value to their organization (Ochoa et al.,2021). However, this progress has not only positively affected companies, but has also benefited cybercrime (Ochoa et al.,2021). It should be considered that cybercriminals have different tools to carry out attacks, one of them within the malware category is ransomware. As a consequence, these attacks generate financial and legal impacts and a deterioration in the reputation, due to the interruption of services, data hijacking, unauthorized access to privileged data, fines, among others (Ochoa et al.,2021). One of the sectors most affected by ransomware attacks is the financial sector, with 48% of these companies having suffered attacks involving this type of malware during 2020 (Ochoa et al.,2021). The purpose of this study is to provide financial organizations with a model, which will allow them to make quantitative estimates of the financial impacts that are the result of a ransomware attack. This, through a series of practices based on ISO 27005 and the Risk IT Framework. In addition, different criteria will be used to identify the type of financial impact and formulas developed to calculate them. Consequently, you will be able to allocate resources efficiently and effectively to minimize risks related to ransomware infection scenario.
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