DeFraudify4ALL: Prototyping and Validation of a System for Fraud Detection with Big Data and Cloud Technology

This paper presents the prototyping and validation of a Financial Data Management and Analysis System designed to enhance fraud detection using advanced Big Data and Cloud technologies. The system incorporates a Java-based worker for data retrieval and analysis from various sources, including external APIs. The processed data is efficiently stored in a Data Lake utilizing Dremio, Apache Arrow, and Apache Parquet technologies. By leveraging cloud platforms such as AWS, the system ensures scalability, security, and flexibility. Additionally, the integration of sophisticated data visualization tools and AI algorithms, particularly Random Forest, enhances the system’s ability to detect fraudulent activities.