Cyber-risk decision models: To insure IT or not?

  • Authors:
  • Arunabha Mukhopadhyay;Samir Chatterjee;Debashis Saha;Ambuj Mahanti;Samir K. Sadhukhan

  • Affiliations:
  • Indian Institute of Management Lucknow, India;Claremont Graduate University, United States;Indian Institute of Management Calcutta, India;Indian Institute of Management Calcutta, India;Indian Institute of Management Calcutta, India

  • Venue:
  • Decision Support Systems
  • Year:
  • 2013

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Abstract

Security breaches adversely impact profit margins, market capitalization and brand image of an organization. Global organizations resort to the use of technological devices to reduce the frequency of a security breach. To minimize the impact of financial losses from security breaches, we advocate the use of cyber-insurance products. This paper proposes models to help firms decide on the utility of cyber-insurance products and to what extent they can use them. In this paper, we propose a Copula-aided Bayesian Belief Network (CBBN) for cyber-vulnerability assessment (C-VA), and expected loss computation. Taking these as an input and using the concepts of collective risk modeling theory, we also compute the premium that a cyber risk insurer can charge to indemnify cyber losses. Further, to assist cyber risk insurers and to effectively design products, we propose a utility based preferential pricing (UBPP) model. UBPP takes into account risk profiles and wealth of the prospective insured firm before proposing the premium.