Institut Teknologi Bandung Reports Findings in Life Science Research (Cyber ​​Insurance Premium Pricing Using a Dynamic Markov-Based Model with Cluster Structure): Life Science Research

2021 NOV 04 (NewsRx) – By a Journalist-Staff News Editor at Daily Engineering News – New research on Life science research is the subject of a report. According to information from Bandung, Indonesia, per NewsRx correspondents, the research said: “Cyber ​​insurance is a risk management option to cover financial losses caused by cyber attacks. Researchers have focused their attention on cyber insurance over the past decade. “

Our editors got a research citation from Teknologi Bandung InstituteOne of the main issues with cyber insurance is estimating the premium. The effect of network topology has been widely explored over the past three years in cyber risk modeling. However, none of the approaches evaluated the influence of clustering structures. Numerous previous investigations have indicated that internal links within a cluster reduce the speed or efficiency of transmission. As a result, the clustering coefficient metric becomes crucial to understanding the efficiency of viral transmission. In this article, we propose a modified dynamic model based on Markov which integrates the influence of the clustering structure on the calculation of cyber insurance premiums. The objective is to create cheaper and less homogeneous premiums by combining criteria other than diplomas. This research proposes a new method of calculating premiums which gives a competitive market price. We integrated the epidemic inhibition function in the Markov-based model by considering three functions: quadratic, linear and exponential. Theoretical and numerical evaluations of regular networks suggested that bonuses were more realistic than bonuses without aggregation. The validation on a real network showed a significant improvement in bonuses compared to bonuses without the cluster structure component despite some variations. In addition, the three functions demonstrated very high correlations between the prime, the total inhibition function of the neighbors and the speed of the inhibition function.

According to the editors, the research concluded, “Thus, the proposed method can provide application flexibility by adapting to specific business requirements and network configurations.

For more information on this research, see: Cyber ​​Insurance Premium Pricing Using a Dynamic Markov-Based Model with a Clustering Structure. PLOS ONE, 2021; 16 (10). PLOS ONE can be contacted at: Public Library Science, 1160 battery street, Ste 100, San Francisco, California 94111, United States. (Public Science Librarywww.plos.org; PLOS ONE – www.plosone.org)

The editors point out that additional information can be obtained by contacting Sapto Wahyu Indratno, Statistical Research Division, Teknologi Bandung Institute, Bandung, West Java, Indonesia. Additional authors of this research include Yeftanus Antonio and Suhadi Wido Saputro.

The direct object identifier (DOI) for this additional information is: https://doi.org/10.1371/journal.pone.0258867. This DOI is a link to an electronic document online that is free or to purchase, and can be your direct source for a journal article and its citation.

Contact details of the journal editor PLOS ONE is: the science of public libraries, 1160 battery street, Ste 100, San Francisco, California 94111, United States.

(Our reports provide factual information on research and discoveries from around the world.)

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