RCVaR: an Economic Approach to Estimate Cyberattacks Costs using Data from Industry Reports
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| Main Authors: | , , , , |
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| Format: | Preprint |
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2023
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| _version_ | 1866911596255641600 |
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| author | Franco, Muriel Figueredo Künzler, Fabian von der Assen, Jan Feng, Chao Stiller, Burkhard |
| author_facet | Franco, Muriel Figueredo Künzler, Fabian von der Assen, Jan Feng, Chao Stiller, Burkhard |
| contents | 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 cybersecurity reports. RCVaR identifies the most significant cyber risk factors from various sources and combines their quantitative results to estimate specific cyberattacks costs for companies. Furthermore, RCVaR extends current methods to achieve cost and risk estimations based on historical real-world data instead of only probability-based simulations. The evaluation of the approach on unseen data shows the accuracy and efficiency of the RCVaR in predicting and managing cyber risks. Thus, it shows that the RCVaR is a valuable addition to cybersecurity planning and risk management processes. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2307_11140 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | RCVaR: an Economic Approach to Estimate Cyberattacks Costs using Data from Industry Reports Franco, Muriel Figueredo Künzler, Fabian von der Assen, Jan Feng, Chao Stiller, Burkhard Cryptography and Security Computers and Society Information Retrieval 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 cybersecurity reports. RCVaR identifies the most significant cyber risk factors from various sources and combines their quantitative results to estimate specific cyberattacks costs for companies. Furthermore, RCVaR extends current methods to achieve cost and risk estimations based on historical real-world data instead of only probability-based simulations. The evaluation of the approach on unseen data shows the accuracy and efficiency of the RCVaR in predicting and managing cyber risks. Thus, it shows that the RCVaR is a valuable addition to cybersecurity planning and risk management processes. |
| title | RCVaR: an Economic Approach to Estimate Cyberattacks Costs using Data from Industry Reports |
| topic | Cryptography and Security Computers and Society Information Retrieval |
| url | https://arxiv.org/abs/2307.11140 |