RCVaR: an Economic Approach to Estimate Cyberattacks Costs using Data from Industry Reports
Muriel Figueredo Franco, Fabian K\"unzler, Jan von der Assen, Chao Feng, Burkhard Stiller

TL;DR
The paper introduces RCVaR, a novel economic method that leverages real-world industry data to estimate cybersecurity costs and risks for companies, enhancing risk management accuracy.
Contribution
It presents RCVaR, an innovative approach that uses public cybersecurity reports to quantify cyberattack costs based on real-world data, extending beyond probability-based models.
Findings
RCVaR accurately predicts cybersecurity costs on unseen data.
The approach effectively identifies significant cyber risk factors.
RCVaR improves cybersecurity risk management processes.
Abstract
Digitization increases business opportunities and the risk of companies being victims of devastating cyberattacks. Therefore, managing risk exposure and cybersecurity strategies is essential for digitized companies that want to survive in competitive markets. However, understanding company-specific risks and quantifying their associated costs is not trivial. Current approaches fail to provide individualized and quantitative monetary estimations of cybersecurity impacts. Due to limited resources and technical expertise, SMEs and even large companies are affected and struggle to quantify their cyberattack exposure. Therefore, novel approaches must be placed to support the understanding of the financial loss due to cyberattacks. This article introduces the Real Cyber Value at Risk (RCVaR), an economical approach for estimating cybersecurity costs using real-world information from public…
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