Modeling and Statistical Analysis of Data Breach Problems in Python

Obrazek miniatury
Dymora, Paweł
Mazurek, Mirosław
Nycz, Mariusz
Tytuł czasopisma
Tytuł tomu
The University of Rzeszów Publishing House
The subject of the work is electronic medical record linkage threat analysis and modeling with the use of the submitted data breaches list published by the U.S. Department of Health and Human Services. Multipronged data analysis with the use of statistics utilities and data visualization has been conducted. The model forecasting the number of data breaches based on a time series mathematical model has also been built. The article reviews the tools and techniques used in data security analysis and presents practical examples of modeling and analysis that can be used in practice to improve data protection. It was shown how important it is to protect personal data, especially medical data, and what tools can be used in the educational process of data analytics for students to effect data analysis, trend assessment, and data prediction.
Słowa kluczowe
Data Breach , Data Analysis , Cybersecurity , Electronic Health Record , Time Series , Statistical analysis , Forecasts
Journal of Education, Technology and Computer Science 4(34)2023, s. 223-233