Multi-Factor Authentication Model for Integrating Iris Recognition into an Automated Teller Machine

The emergence of computer has greatly fuelled the advancement of Science and Technology and drastically changed the way human live.Beside these advancements is increasing sense of insecurity and apprehension.Security issues, particularly those relating to users, which include identification, authentication, authorization and accountability, have always been a challenge to banking transactions.As the number of customers in banking system increases, the banking channel becomes a target for criminals to carry out their activities.Series of security challenges in automatic teller machine (ATM) transactions are: Identity Theft, Impersonation, Skimming, Entrapping of smartcard, personal identification number (PIN) theft, Phishing, Insider attacks and physical attack.The existing ATM authentication method involves PIN and smartcard usage for customer privacy protection and fraud prevention.Hence, this research is focused on developing a model that allows Iris recognition into an automated teller machine authentication processes.