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Countering Cybercrime Risks in Financial Institutions: Forecasting Information Trends

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dc.contributor.authorKuzior, Aleksandra
dc.contributor.authorBrozek, Paulina
dc.contributor.authorKuzmendo, Olha
dc.contributor.authorYarovenko, Hanna
dc.contributor.authorVasilyeva, Tetyana
dc.date.accessioned2023-10-26T08:04:39Z
dc.date.available2023-10-26T08:04:39Z
dc.date.issued2022-12-16
dc.description.abstractThis article aims to forecast the information trends related to the most popular cyberattacks, seen as the cyber-crimes’ consequences reflecting on the Internet. The study database was formed based on online users’ search engine requests regarding the terms “Cyberattacks on the computer systems of a financial institution”, “Cyberattacks on the network infrastructure of a financial institution”, and “Cyberattacks on the cloud infra-structure of a financial institution”, obtained with Google Trends for the period from 16 April 2017 to 4 October 2022. The authors examined the data using the Z-score, the QS test, and the method of differences of average levels. The data were found to be non-stationary with outliers and a seasonal component, so exponential smoothing was applied to reduce fluctuations and clarify the trends. As a result, the authors built additive and multiplicative cyclical and trend-cyclical models with linear, exponential, and damped trends. According to the models’ quality evaluation, the best results were shown by the trend-cyclic additive models with an exponential trend for predicting cyberattacks on computer systems and the cloud infrastructure and a trend-cyclic additive model with a damped tendency for predicting cyberattacks on the network infrastructure. The obtained results indicate that the U.S. can expect cybercrimes in the country’s financial system in the short and medium term and develop appropriate countermeasures of a financial institution to reduce potential financial losses.en
dc.description.sponsorshipThis research was funded by the grant from the Ministry of Education and Science of Ukraine (No. s/r 0121U109559, No. s/r 0121U100467, No. s/r 0121U109553, No. s/r 0120U102001). The research received funding under the research subsidy of the Faculty of Organization and Management of the Silesian University of Technology for the year 2022 (13/990/BK_22/0170).en
dc.identifier.bibliographicCitationKuzior, A.; Brożek, P.; Kuzmenko, O.; Yarovenko, H.; Vasilyeva, T. Countering Cybercrime Risks in Financial Institutions: Forecasting Information Trends. J. Risk Financial Manag. 2022, 15, 613. https://doi.org/10.3390/jrfm15120613en
dc.identifier.doihttps://doi.org/10.3390/jrfm15120613
dc.identifier.issn1911-8066
dc.identifier.publicationfirstpage1
dc.identifier.publicationissue12
dc.identifier.publicationlastpage22
dc.identifier.publicationtitleJournal of Risk and Financial Managementen
dc.identifier.publicationvolume15
dc.identifier.urihttps://hdl.handle.net/10016/38681
dc.identifier.uxxiAR/0000031613
dc.language.isoeng
dc.publisherMDPIen
dc.rights© 2022 by the authorsen
dc.rightsAtribución 3.0 España
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.subject.ecienciaInformáticaes
dc.subject.otherfinancial risksen
dc.subject.othercybercrimeen
dc.subject.othercyberattacken
dc.subject.otherexponential smoothingen
dc.subject.otherpredictionen
dc.subject.otherinformation trenden
dc.titleCountering Cybercrime Risks in Financial Institutions: Forecasting Information Trendsen
dc.typeresearch article*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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