Security Issues of Big Data in the Banking Sector and Analytical Approach

Abstract

This study highlights the banking sector as a rich source of data that includes customer data, financial transactions and economic indicators. The main focus is on effectively applying and training machine learning techniques using this abundance of data. In particular, it aims to determine which model gives better results by examining various machine learning models for risk detection in the mentioned data set.