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The role of Big Data and Data Science in the context of information security and cybersecurity
Dariusz Prokopowicz 1
,
 
Anna Gołębiowska 2
,
 
Małgorzata Such-Pyrgiel 3
 
 
 
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1
Cardinal Stefan Wyszynski University in Warsaw Faculty of Socio-Economics Institute of Economics and Finance
 
2
Main School of Fire Service in Warsaw Institute of Internal Security
 
3
Alcide De Gasperi University of Euroregional Economy in Józefów
 
 
Submission date: 2023-02-06
 
 
Final revision date: 2023-12-06
 
 
Acceptance date: 2023-12-15
 
 
Publication date: 2023-12-30
 
 
Corresponding author
Małgorzata Such-Pyrgiel   

Alcide De Gasperi University of Euroregional Economy in Józefów
 
 
JoMS 2023;53(4):9-42
DOI: https://doi.org/10.13166/jms/177036
 
 
Article (PDF)
References (65)
 
KEYWORDS
sustainable development
information security
Industry 4.0
Big Data
Data Science
green transition
digital transformation
 
TOPICS
Sociology
Economics
Security science
 
ABSTRACT
Objectives In the area of the fastest growing fields of ICT technology which determine the successive stages of progress in the field of online electronic banking, it is necessary to disseminate standards for conducting financial operations carried out in the so-called cloud as well as using the large data sets located in the so-called Big Data platforms. Material and methods For the purposes of this article, research has been carried out on the broad issue of Big Data Analytics applications in the context of social, normative, economic, environmental, climate aspects. A questionnaire survey was conducted. The method of analysis of literature sources concerning the subject of the article was applied. Results Currently emerging trends in the development of technology based on Big Data dataset platforms usually allow to perform multidimensional calculations and reported results of analyzes in real time. The analyzes conducted on huge data sets allow for comprehensive, multi-aspect risk assessments at the level of the whole entity. During the SARS-CoV-2 (Covid-19) coronavirus pandemic, there was an increase in the importance of analytics based on Big Data Analytics. During the pandemic, there was also an increase in the digitisation and internetisation of business processes. This also resulted in an increase in the scale of cybercrime development. Conclusions The technological revolution currently taking place, defined as Industry 4.0, is motivated by the development of the following factors: Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence, Business Intelligence and other technologies of advanced data processing Data Mining. On the basis of the development new technological solutions, in recent years there has been a dynamic development of Big Data Analytics.
 
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