Modelling and Analysis of Cyberattack Risks on Financial Institutions Using Mathematical Statistics and Python Methods

Authors

Valentyna Darmosiuk (ORCID: https://orcid.org/0000-0003-3275-8249)
Svitlana Tyshchenko (ORCID: https://orcid.org/0000-0001-7881-8740)
A. Yu. Parkhomenko (ORCID: https://orcid.org/0000-0002-7940-7414)

Publication Details

Journal: Modern Economics
Published: 2024-12-25
DOI: https://doi.org/10.31521/modecon.v48(2024)-16
Primary Topic: Insurance and Financial Risk Management
Type: article
Field-Weighted Citation Impact: 0.00

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article

Modelling and Analysis of Cyberattack Risks on Financial Institutions Using Mathematical Statistics and Python Methods

Valentyna Darmosiuk, Svitlana Tyshchenko, A. Yu. Parkhomenko

Dec 25, 2024

Modern Economics

Insurance and Financial Risk Management

article

Modelling and Analysis of Cyberattack Risks on Financial Institutions Using Mathematical Statistics and Python Methods

Valentyna Darmosiuk, Svitlana Tyshchenko, A. Yu. Parkhomenko

December 25, 2024article en

Abstract

No abstract available for this paper.

Modern EconomicsVol. 48(1)

Openalex Percentile: Top 65%

Insurance and Financial Risk Management

DOI Open Access PDF OpenAlex

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Modelling and Analysis of Cyberattack Risks on Financial Institutions Using Mathematical Statistics and Python Methods — Valentyna Darmosiuk, Svitlana Tyshchenko, et al. · Modern Economics (2024) | TGRS Research Map | TGRS