Optimisation of cyber insurance coverage with selection of cost effective security controls. Issue 101 (February 2021)

• Record Type: Journal Article
• Authors: Uuganbayar, Ganbayar; Yautsiukhin, Artsiom; Martinelli, Fabio; Massacci, Fabio
• Is Part Of: Computers & security. Issue 101(2021)
• Publication Date: 2021-02
• Subjects: Cyber insurance -- Security investment -- Risk management -- Risk treatment -- Dynamic programming -- Genetic algorithm; Computer security -- Periodicals; Electronic data processing departments -- Security measures -- Periodicals; 005.805
• DOI: 10.1016/j.cose.2020.102121
• Languages: English
• ISSNs: 0167-4048

Abstract

Abstract: Nowadays, cyber threats are considered among the most dangerous risks by top management of enterprises. One way to deal with these risks is to insure them, but cyber insurance is still quite expensive. The insurance fee can be reduced if organisations improve their cyber security protection, i.e., reducing the insured risk. In other words, organisations need an investment strategy to decide the optimal amount of investments into cyber insurance and self-protection. In this work, we propose an approach to help a risk-averse organisation to distribute its cyber security investments in a cost-efficient way. What makes our approach unique is that next to defining the amount of investments in cyber insurance and self-protection, our proposal also explicitly defines how these investments should be spent by selecting the most cost-efficient security controls. Moreover, we provide an exact algorithm for the control selection problem considering several threats at the same time and compare this algorithm with other approximate algorithmic solutions.