An approach to managing innovation to protect financial sector against cybercrime

• Autorzy: Kuzmenko Olha , Kubálek Jan , Bozhenko Victoria , Kushneryov Olexandr , Vida Imre

Identyfikatory

DOI

10.17512/pjms.2021.24.2.17

Warianty tytułu

PL

Podejście do zarządzania innowacjami w celu ochrony sektora finansowego przed cyberprzestępczością

• Języki publikacji: EN

Abstrakty

EN

Ensuring the cyber security management is an ever-increasing challenge for the financial institutions and the national financial regulators. The main purpose of the research is to improve cyber security management through analyzing large data volumes of information which helps to identify potential cyber threats at an early stage. The factors of the rapid cybercrime growth via supervised learning models with associated learning (SVM) were identified and evaluated in the paper. The object of research is 21 EU countries. The paper presents the results of an empirical analysis, which showed that the cyber threats are caused by the growth of using online banking (0.49), improvement of internet user skills (0.42), expansion of activities online (0.41). The results of the research can be useful for financial institutions, national regulators and cybersecurity professionals.

PL

Zapewnienie zarządzania cyberbezpieczeństwem jest coraz większym wyzwaniem dla instytucji finansowych i krajowych organów nadzoru finansowego. Głównym celem badania jest usprawnienie zarządzania cyberbezpieczeństwem poprzez analizę dużych wolumenów danych informacji, co pomaga zidentyfikować potencjalne zagrożenia cybernetyczne na wczesnym etapie. W artykule zidentyfikowano i oceniono czynniki szybkiego wzrostu cyberprzestępczości poprzez nadzorowane modele uczenia się z powiązanym uczeniem (SVM). Przedmiotem badań jest 21 krajów UE. W artykule przedstawiono wyniki analizy empirycznej, która wykazała, że cyberzagrożenia spowodowane są wzrostem korzystania z bankowości internetowej (0,49), poprawą umiejętności internautów (0,42), ekspansją aktywności w sieci (0,41). Wyniki badania mogą być przydatne dla instytucji finansowych, krajowych regulatorów i specjalistów ds. cyberbezpieczeństwa.

Słowa kluczowe

EN

cybercrime; policy; financial system; big data; machine learning; innovation; sustainable development

PL

cyberprzestępczość; polityka; system finansowy; big data; uczenie maszynowe; innowacje; zrównoważony rozwój

• Wydawca: Czestochowa University of Technology
• Czasopismo: Polish Journal of Management Studies
• Rocznik: 2021
• Tom: Vol. 24, No. 2
• Strony: 276--291
• Opis fizyczny: Bibliogr. 65 poz., rys., tab.

Twórcy

autor

Kuzmenko Olha

• Sumy State University, Ukraine

autor

Kubálek Jan

• Department of Strategy, Faculty of Business Administration, Prague University of Economics and Business, Czech Republic

autor

Bozhenko Victoria

• Sumy State University, Ukraine

autor

Kushneryov Olexandr

• Sumy State University, Ukraine

autor

Vida Imre

• Hungarian University of Agriculture and Life Sciences, Doctoral School of Economics and Regional Sciences, Hungary

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).