Automated Author Profile

de Wilde, Lisa

0000-0001-6259-0569

Current S-Index

2.8

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

2.8

Average Dataset Index per dataset

Total Datasets

1

Total datasets for this author

Average FAIR Score

73.1%

Average FAIR Score per dataset

Total Citations

2

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

A Bayesian Network Model for Predicting Data Breaches Caused by Insiders of a Health Care Organization (Version: 1)

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.

Authors

  • de Wilde, Lisa
2 Citations0 Mentions73% FAIR2.8 Dataset Index
10.4121/uuid:c637245d-93fb-4cee-8f4a-9b5fa14d55132016