Automated Fraud Control System :- Edet, Nsikak A

ABSTRACT

 Fraud is a deliberate act or failure to act with the intention of obtaining an unauthorized benefit, either for oneself or for the institution, by using deception means. Fraud is an intentionally deceptive action designed to provide the perpetrator with an unlawful gain or to deny a right to a victim. Fraud is an intentionally deceptive action designed to provide the perpetrator with an unlawful gain or to deny a right to a victim. Fraud can encompass waste and abuse, improper payments, money laundering, terrorist financing, public security and cyber security. The problem statement focus on the problem of technology advancement which encourages more fraud and it is a threat to the economy of the nation, the problem of overdraft without the full bank knowledge and permission, delay in transactions with the bank as a result of strutting of the transaction to avoid fraud, poor system responds time, unemployment in our country, increase in robbing incidence of financial institution in Nigeria, in ability of the bank to detect fraud at real-time, time consumption involved in manual fraud detection in bank. The objectives of this research are to develop a platform for · an automated fraud control system, build a database structure used to store a data, design a platform that creates account and aid in controlling fraud, create a platform that aid in tracking fraud, design a platform that aid in monitoring of fraudulent and reporting fraud issues, create a platform that aids in viewing all employee, design a platform that aids in viewing all fraud issues and design a platform that provides quick or short response time in detecting fraud in bank. The new system was develop using java programming language. This language was chosen because of its simplicity and platform independent ability. Along, the database used for this project is SQLite Database Management system, this Database management system was chosen because of its portability, easy diplomacy and platform independent of it. The application was tested using sample data collected like interview, observation, questionnaire and the outcome was a more user-friendly for fraud detection system capable of resolving the problems identified in the existing system