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CyberInsurance for cybersecurity a topological take on modulating insurance premiums

Published: 04 January 2012 Publication History

Abstract

A recent conjecture in cyber-insurance research states that for compulsory monopolistic insurance scenarios, charging fines and rebates on fair premiums will incentivize networkusers to invest in self-defense investments, thereby making cyber-space more robust. Assuming the validity of the conjecture in this paper, we adopt a topological perspective in proposing a mechanism that accounts for (i) the positive externalities posed (through self-defense investments) by network users on their peers, and (ii) network location (based on centrality measures) of users, and provides an appropriate way to proportionally allocate fines/rebates on user premiums. We mathematically justify (via a game-theoretic analysis) that optimal fine/rebates per user should be allocated in proportion to the Bonacich or eigenvector centrality value of the user.

References

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R. Anderson and T. Moore. Information security: Where computer science, economics and psychology meet. Philosophical Transactions of the Royal Society, 367, 2009.
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P. B. Bonacich. Power and centrality: A family of measures. American Journal of Sociology, 92, 1987.
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M. O. Jackson. Social and Economic Networks. Princeton University Press, 2008.
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M. Lelarge and J. Bolot. Economic incentives to increase security in the internet: The case for insurance. In IEEE INFOCOM, 2009.
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R. P. Majuca, W. Yurcik, and J. P. Kesan. The evolution of cyberinsurance. Information Systems Frontier, 2005.
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C. D. Meyer. Matrix Analysis and Applied Linear Algebra. SIAM Press, 2000.

Cited By

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  • (2023)Mapping cyber insurance: a taxonomical study using bibliometric visualization and systematic analysisGlobal Knowledge, Memory and Communication10.1108/GKMC-03-2023-0082Online publication date: 16-Jun-2023
  • (2020)A Contract-Theoretic Cyber Insurance for Withdraw Delay in the Blockchain Networks with ShardsICC 2020 - 2020 IEEE International Conference on Communications (ICC)10.1109/ICC40277.2020.9149437(1-7)Online publication date: Jun-2020
  • (2019)Security Pricing as Enabler of Cyber-Insurance A First Look at Differentiated Pricing MarketsIEEE Transactions on Dependable and Secure Computing10.1109/TDSC.2017.268480116:2(358-372)Online publication date: 1-Mar-2019
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Published In

cover image ACM SIGMETRICS Performance Evaluation Review
ACM SIGMETRICS Performance Evaluation Review  Volume 40, Issue 3
December 2012
108 pages
ISSN:0163-5999
DOI:10.1145/2425248
Issue’s Table of Contents
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 January 2012
Published in SIGMETRICS Volume 40, Issue 3

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Author Tags

  1. Bonacich centrality
  2. cyber-insurance
  3. eigenvector centrality
  4. fines
  5. rebates
  6. self-defense investment

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Cited By

View all
  • (2023)Mapping cyber insurance: a taxonomical study using bibliometric visualization and systematic analysisGlobal Knowledge, Memory and Communication10.1108/GKMC-03-2023-0082Online publication date: 16-Jun-2023
  • (2020)A Contract-Theoretic Cyber Insurance for Withdraw Delay in the Blockchain Networks with ShardsICC 2020 - 2020 IEEE International Conference on Communications (ICC)10.1109/ICC40277.2020.9149437(1-7)Online publication date: Jun-2020
  • (2019)Security Pricing as Enabler of Cyber-Insurance A First Look at Differentiated Pricing MarketsIEEE Transactions on Dependable and Secure Computing10.1109/TDSC.2017.268480116:2(358-372)Online publication date: 1-Mar-2019
  • (2018)CybersecurityJournal of Computing Sciences in Colleges10.5555/3199572.319958033:4(53-59)Online publication date: 1-Apr-2018
  • (2018)Improving Cyber-Security via Profitable Insurance MarketsACM SIGMETRICS Performance Evaluation Review10.1145/3273996.327399945:4(7-15)Online publication date: 28-Aug-2018
  • (2017)Game Theory for Cyber Security and PrivacyACM Computing Surveys10.1145/305726850:2(1-37)Online publication date: 10-May-2017
  • (2017)Cyber-insurance surveyComputer Science Review10.1016/j.cosrev.2017.01.00124(35-61)Online publication date: May-2017
  • (2016)A Novel Secure Big Data Cyber Incident Analytics Framework for Cloud-Based Cybersecurity Insurance2016 IEEE 2nd International Conference on Big Data Security on Cloud (BigDataSecurity), IEEE International Conference on High Performance and Smart Computing (HPSC), and IEEE International Conference on Intelligent Data and Security (IDS)10.1109/BigDataSecurity-HPSC-IDS.2016.65(171-176)Online publication date: Apr-2016
  • (2016)Secure cyber incident analytics framework using Monte Carlo simulations for financial cybersecurity insurance in cloud computingConcurrency and Computation: Practice and Experience10.1002/cpe.385629:7Online publication date: 27-May-2016

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