A Bayesian Network Model for Predicting Data Breaches Caused by Insiders of a Health Care Organization
datasetposted on 16.12.2016 by Lisa de Wilde
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
During this research a Bayesian Network model was created to determine the probability of a data breach caused by insiders of a health care sector. In addition to this, a data breach assessment tool has been created which can be used to obtain observations for the model. To gather information on the impact of the variables a focus group session with assignments was arranged. To explain the research and the assignments to the participants a presentation was given. The model was validated by sensitivity analyses and performing a data breach assessment in three hospitals.