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Bibliografia publikacji pracowników
Państwowej Szkoły Wyższej w Białej Podlaskiej

Baza tworzona przez Bibliotekę Akademii Bialskiej im. Jana Pawła II.


Zapytanie: KUZMENKO OLHA
Liczba odnalezionych rekordów: 2



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Nr opisu: 0000042732
Autorzy: Olha Kuzmenko, Agnieszka Cyburt, Hanna Yarovenko, Valeryia Yersh, Yuliia Humenna.
Tytuł pracy: Modeling of "information bubbles" in the global information space
Tytuł czasopisma:
Szczegóły: 2021, Vol. 14, no 4, p. 270--285
p-ISSN: 2071-8330
e-ISSN: 2306-3483
Charakterystyka formalna: artykuł w czasopiśmie polskim
Charakterystyka merytoryczna: artykuł oryginalny naukowy
Charakterystyka wg MNiSW: artykuł w czasopiśmie bez IF (wykaz MEiN)
Język publikacji: ENG
Punktacja ministerstwa: 100.000
Słowa kluczowe ang.: cyber threat ; digital economy ; information activity ; information bubbles ; information injection ; information security ; information space
https://www.jois.eu/?740,en_modeling-of-information-bubbles-in-the-global-information-space
DOI: 10.14254/2071-8330.2021/14-4/18
Streszczenie: The article uses the Sedov-Taylor function to model "information bubbles" formed in the global information space due to information attacks. The authors identify the most relevant determinants that describe information activities related to cyber threats and reactions of economic agents in the global digital economic space. The article hypothesizes about the emergence of "information bubbles" due to increases in information activities and their rupture due to information intrusion, leading to appropriate reactions of economic agents and their subsequent stabilization over time. The empirical data from global web statistics indicates, that four large-scale information overloads were caused by cyberattacks during the study period, which led to the rupture of "information bubbles". Application of autocorrelation functions allows us to determine that the period during which misinformation spreads is, on average, seven days. Solution of the Sedov-Taylor optimization problem and calculations of differential equations, as well as their derivatives, suggest several indicators. Namely, a breakpoint of the second kind, corresponds to the rupture of the "information bubble" with a subsequent adaptation of the system; the inflection point of the function identifies the levels of information activities related to cyber threats, which will change the consequences of the "information bubble" rupture; the minimum possible level of the reactions of economic agents in the global digital economic space.

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Nr opisu: 0000041159
Autorzy: Serhiy Lyeonov, Joanna Żurakowska-Sawa, Olha Kuzmenko, Vitaliia Koibichuk.
Tytuł pracy: Gravitational and intellectual data analysis to assess the money laundering risk of financial institutions
Tytuł czasopisma:
Szczegóły: 2020, Vol. 13, no. 4, p. 259--272
p-ISSN: 2071-8330
e-ISSN: 2306-3483
Charakterystyka formalna: artykuł w czasopiśmie zagranicznym
Charakterystyka merytoryczna: artykuł oryginalny naukowy
Charakterystyka wg MNiSW: artykuł w czasopiśmie bez IF (wykaz MEiN)
Język publikacji: ENG
Punktacja ministerstwa: 100.000
Słowa kluczowe ang.: financial risk ; money laundering ; gravitational modeling ; dynamic risk stability ; bifurcation analysis ; Ukraine
https://www.jois.eu/?662,en_gravitational-and-intellectual-data-analysis-to-assess-the-money-laundering-risk-of-financial-institutions
DOI: 10.14254/2071-8330.2020/13-4/18
Streszczenie: The wide variety of schemes to use companies for money laundering, such as oil smuggling, illegal gas sales, misappropriation of the Central Bank refinancing, misappropriation of bank funds and state-owned enterprises, form the research issues. The sample under study includes 102 countries around the world, which are closely monitored by the Financial Action Task Force (FATF) and have different levels of sociopolitical and economic development. The scientific and methodological approach to assess the financial monitoring risk in terms of the use of financial institutions for money laundering is based on the methods of multidimensional static analysis, descriptive, cluster and dispersive data analysis, gravity theory, nonlinear econometric modeling, differential and bifurcation analysis of dynamic nonlinear systems. The result of the study is a developed model of comprehensive risk assessment for the countries' financial institutions for money laundering, which considers grouping of countries by the level of money laundering risk, identification of the cluster belonging to the state; formation of an integrated index as a money laundering risk rating assessment, and risk assessment based on the gravitational model; construction of a phase portrait for a dynamic system of the risk to use the countries' financial institutions based on a nonlinear econometric model.

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