Mr. Girish Wali

Suspicious Activity Detection and Report Generation Leveraging Modern Technologies in Finance

Abstract:

This presentation delves into the innovative use of deep learning and fog computing to enhance suspicious activity detection in the financial sector. Traditional methods often struggle with high false positives and adaptability issues in the face of evolving fraudulent techniques. We explore the integration of Long Short-Term Memory (LSTM) networks and fog computing infrastructure, which significantly improves real-time transaction monitoring and detection accuracy. A case study highlights the practical applications and effectiveness of these technologies in reducing false positives and increasing detection rates. The future directions suggest further integration of cutting-edge technologies like artificial neural networks and blockchain, emphasizing the necessity for continual innovation in financial fraud detection.