Secure Online Banking With Biometrics

Online banking is a substantial part of daily routine of large enterprise businesses and individual users for making transactions. However, security in online banking is a major dilemma owing to the vulnerable authentication schemes. Online banking employs conventional methods of Username and Passwords for authenticating the user. However, these techniques only verify the passwords and not the end user who requests the services for which only legitimate person is privileged to use. Using these vulnerabilities of online banking, intruders tend to masquerade legitimate user for unauthorized access to the system. This paper presents three-factor authentication scheme, which includes username/password, familiar random images and fingerprint data of user in order to make user-authentication more secure. Subsequently, Match on Card technique is proposed to ensure the confidentiality and integrity of biometric data of user since the reference feature set of user once store in credit card would not be permitted to move out and matching is performed on the credit card itself. In addition, the concept of familiar random images is used in order to enhance the security, as humans are believed to have remarkable visual remembering capability in comparison to words. The results show that the incorporation of three-factor authentication in online banking application resists the intruder to illicitly use banking services of any authorized user. The proposed biometric online banking system tends to assist in lessening the cybercrime rate of online banking and tends to escalate the user confidence in using banking services online.