DESIGN AND IMPLEMENT OF FRAUD DETECTION AND PREVENTION SYSTEM

The increasing complexity and sophistication of fraudulent activities in the banking sector have necessitated the integration of computer-based systems for fraud detection and prevention. This study explores the pivotal role that computer technologies play in safeguarding financial institutions against various forms of fraud. The research adopts a qualitative methodology, involving extensive literature reviews, interviews with bank personnel, case studies, and system prototyping to understand how fraud manifests in banking operations and how computers can be used to combat it. Key objectives of the study include identifying common types of banking fraud, evaluating the effectiveness of current computer-based anti-fraud systems, and recommending improved technological approaches. Findings revealed that fraud types such as identity theft, phishing, and unauthorized transactions are prevalent in the banking sector and that computer-based solutions, including automated transaction monitoring, PIN verification, and real-time alert systems, significantly enhance fraud detection and prevention capabilities. To support the theoretical findings, a prototype fraud detection system was developed, integrating key security features such as user authentication, transaction logging, and suspicious activity flagging. This system demonstrates how digital tools can be utilized to monitor banking activities efficiently and reduce the risk of fraud. The study concludes that the adoption of advanced computing technologies is not only necessary but essential in today’s digital banking environment. It recommends increased investment in artificial intelligence (AI), machine learning, biometric systems, and blockchain technology to future-proof fraud detection strategies. The objectives of identifying fraud types, understanding implementation challenges, and recommending strategic improvements were achieved, contributing valuable insights into the broader field of cybersecurity in financial services.