Analyzing Existing Patterns in Transactions for Terrorism Financing Detection

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.