Modeling and Statistical Analysis of Data Breach Problems in Python

Skrócona strona pozycji
dc.contributor.authorDymora, Paweł
dc.contributor.authorMazurek, Mirosław
dc.contributor.authorNycz, Mariusz
dc.date.accessioned2024-03-09T19:33:30Z
dc.date.available2024-03-09T19:33:30Z
dc.date.issued2023-12
dc.description.abstractThe 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.eng
dc.identifier.citationJournal of Education, Technology and Computer Science 4(34)2023, s. 223-233
dc.identifier.doi10.15584/jetacomps.2023.4.22
dc.identifier.eissn2719-7417
dc.identifier.issn2719-6550
dc.identifier.urihttps://repozytorium.ur.edu.pl/handle/item/10319
dc.language.isoeng
dc.publisherThe University of Rzeszów Publishing House
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Poland*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/pl/*
dc.subjectData Breach
dc.subjectData Analysis
dc.subjectCybersecurity
dc.subjectElectronic Health Record
dc.subjectTime Series
dc.subjectStatistical analysis
dc.subjectForecasts
dc.titleModeling and Statistical Analysis of Data Breach Problems in Python
dc.typearticle
Pliki
Oryginalny pakiet
Aktualnie wyświetlane 1 - 1 z 1
Obrazek miniatury
Nazwa:
027+JETC+No+4_34_Modeling+and+Statistical+Analysis.pdf
Rozmiar:
460.03 KB
Format:
Adobe Portable Document Format
Opis:
Pobierz
Pakiet licencji
Aktualnie wyświetlane 1 - 1 z 1
Obrazek miniatury
Nazwa:
license.txt
Rozmiar:
1.28 KB
Format:
Item-specific license agreed upon to submission
Opis:
Pobierz
Kolekcje
Journal of Education, Technology and Computer Science nr 4(34)2023