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A Bayesian Network Model for Predicting Data Breaches Caused by Insiders of a Health Care Organization

dataset
posted on 16.12.2016, 00:00 by Lisa de Wilde
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.

History

Contributors

University of Twente, Faculty of Electrical Engineering, Mathematics and Computer Science: Services, Cybersecurity and Safety Research Group

Publisher

University of Twente

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media types: application/pdf, application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, application/zip, image/jpeg, text/html, text/plain

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