Репозиторий КазНИТУ

Analyzing Existing Patterns in Transactions for Terrorism Financing Detection

Авторы:

Rakhmetulayeva, S. (Соавтор)

Bolshibayeva, A. (Соавтор)

Kozhamzharova, D. (Соавтор)

Kulbayeva, A. (Соавтор)

Издательство:

Institute of Electrical and Electronics Engineers Inc.

Дата издания

13.12.2024

Область исследования

Инжиниринг и технологии

Тип исследования

Фундаментальное

Аннотация (краткое описание)

This study aims to enhance terrorism financing detection mechanisms by analyzing existing patterns in financial transactions. Utilizing advanced data analysis techniques and machine learning models, we identified significant transaction patterns indicative of terrorism financing activities. The proposed models demonstrated improved accuracy and efficiency over traditional detection methods. The findings have substantial implications for financial institutions and regulatory bodies in strengthening financial security and preventing illicit activities. © 2024 IEEE.

Соответствие целям устойчивого развития (ЦУР)

10.

Уменьшение неравенства

URI

https://www.scopus.com/record/display.url?eid=2-s2.0-105013537108&origin=resultslist

DOI

10.1109/IRC63610.2024.11053980

Тип публикаций

Статья

Сведения о финансировании

This research has been funded by the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan (Grant No. AP19576825 - Development of machine learning methods and algorithms to identify the financing of terrorist activities in the Republic of Kazakhstan).

Данный документ располагается в коллекциях