Date of Award
3-22-2022
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Department of Mathematics
First Advisor
Maochao Xu
Abstract
It is very challenging to predict the cost of a cyber incident owing to the complexnature of cyber risk. However, it is inevitable for insurance companies to offer cyber insurance policies. The time to identifying an incident and the time to noticing the affected individuals are two important components in determining the cost of a cyber incident. In this work, we initialize the study on those two metrics via statistical modeling approaches. We propose a novel approach to imputing the missing data, and further develop a dependence model to capture the complex pattern exhibited by those two metrics. The empirical study shows that the proposed approach has a satisfactory predictive performance and is superior to other commonly used models.
Recommended Citation
Nguyen, Quynh Nhu, "Statistical Modeling of Data Breach Risks: Time to Identification and Notification" (2022). Theses and Dissertations. 1564.
https://ir.library.illinoisstate.edu/etd/1564
DOI
https://doi.org/10.30707/ETD2022.20220705065053152241.999976
Page Count
48
Comments
Imported from Nguyen_ilstu_0092N_12158.pdf