Fraud detection and prevention

Thesis Abstract

This research project aims to investigate different techniques and strategies used in detecting and preventing fraudulent activities in accounting systems. The project will explore the various types of fraud that can occur in accounting, such as financial statement fraud, asset misappropriation, and corruption. It will analyze the role of internal controls, data analytics, and forensic accounting in fraud detection and prevention. The project will also examine the challenges faced by organizations in implementing effective fraud prevention measures and the potential benefits of proactive fraud detection. The findings of this study will contribute to a better understanding of fraud detection and prevention strategies and provide insights for organizations to strengthen their internal controls and mitigate the risk of fraud.