Predicting cybersecurity risk: a methodology for assessments

Ferreira, Daniel Jorge; São Mamede, Henrique

http://hdl.handle.net/10400.2/14077

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Authors

Ferreira, Daniel Jorge

São Mamede, Henrique

Abstract(s)

With the current impulse of Cyberattacks, data becomes of central importance. Many challenges in how they are used also have to be discussed. Defining a suitable cybersecurity incident response model is a critical challenge that all companies face today. A high number of incidents happen daily and for which there is not always an adequate response. This is due to the lack of data-based predictive models (evidence). There is a significant investment in research to identify the main factors that can cause such incidents, always trying to have the most appropriate answer and ultimately boosting responsiveness and success. At the same time, several different methodologies assess organizations' risk management and maturity level.