Pricing of cyber insurance premiums using a Markov-based dynamic model with clustering structure.

ABSTRACT: Cyber insurance is a risk management option to cover financial losses caused by cyberattacks. Researchers have focused their attention on cyber insurance during the last decade. One of the primary issues related to cyber insurance is estimating the premium. The effect of network topology has been heavily explored in the previous three years in cyber risk modeling. However, none of the approaches has assessed the influence of clustering structures. Numerous earlier investigations have indicated that internal links within a cluster reduce transmission speed or efficacy. As a result, the clustering coefficient metric becomes crucial in understanding the effectiveness of viral transmission. We provide a modified Markov-based dynamic model in this paper that incorporates the influence of the cl

SUBMITTER: Antonio Y 

PROVIDER: S-EPMC8547698 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature