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Duopoly insurers’ incentives for data quality under a mandatory cyber data sharing regime
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Network and Systems Engineering. Digital Futures.ORCID iD: 0000-0002-5716-8467
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID. Digital Futures.ORCID iD: 0000-0003-2017-7914
2023 (English)In: Computers & security (Print), ISSN 0167-4048, E-ISSN 1872-6208, Vol. 131, p. 1-16, article id 103292Article in journal (Refereed) Published
Abstract [en]

We study the impact of data sharing policies on cyber insurance markets. These policies have been proposed to address the scarcity of data about cyber threats, which is essential to manage cyber risks. We propose a Cournot duopoly competition model in which two insurers choose the number of policies they offer (i.e., their production level) and also the resources they invest to ensure the quality of data regarding the cost of claims (i.e., the data quality of their production cost). We find that enacting mandatory data sharing sometimes creates situations in which at most one of the two insurers invests in data quality, whereas both insurers would invest when information sharing is not mandatory. This raises concerns about the merits of making data sharing mandatory.

Place, publisher, year, edition, pages
Elsevier, 2023. Vol. 131, p. 1-16, article id 103292
Keywords [en]
Cyber risk, Data sharing, Data quality, Cyber insurance, Cournot model
National Category
Computer and Information Sciences Economics
Identifiers
URN: urn:nbn:se:kth:diva-330423DOI: 10.1016/j.cose.2023.103292ISI: 001010638900001Scopus ID: 2-s2.0-85160592819OAI: oai:DiVA.org:kth-330423DiVA, id: diva2:1777821
Note

QC 20230630

Available from: 2023-06-30 Created: 2023-06-30 Last updated: 2023-07-06Bibliographically approved

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Barreto, CarlosFranke, Ulrik

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