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

Datacite citation style

de Wilde, Lisa (2016): A Bayesian Network Model for Predicting Data Breaches Caused by Insiders of a Health Care Organization. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:c637245d-93fb-4cee-8f4a-9b5fa14d5513
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

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

  • 2016-12-16 first online, published, posted

Publisher

University of Twente

Format

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

Organizations

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

DATA

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