Fraud Detection and Control System in Bank Using Finger Print Simulation

Abstract

The need to control access to certain information and resources has been taken seriously nowadays due to fraud and other threats to current security systems. The role of ATM in promoting, developing and expanding the concept of “Anytime Anywhere Anyplace” banking is undeniable. It offers a real convenience to those who are on the run in their everyday life, but at the same time, it also carries a big element of risk. This paper believes that no single method, algorithm, key or procedure is entirely secure. Hence a combination of multiple security components is mandatory to provide a high level of protection against fraud and other threats. This research is about enhancing the security feature of an ATM by fingerprint verification and the use of confirmation message. It looks into the vulnerabilities of ATM cards, Personal Identification numbers (PIN) or passwords which are widely used in systems today. As a result, the aim of the research is to propose a framework for user identification and authentication in automated teller machines (ATM) as opposed to PIN. This robust method of user identification and authentication would hopefully reduce the vulnerabilities of ATM in the future. The programming language was chosen for its ideal nature for writing windows based application.