SHOULDER SURFING RESISTANCE USING GRAPHICAL PASSWORD AUTHENTICATION IN ATM SYSTEMS

Authentication is one of the important security approaches to protect user privacy in computer based and internet based environments. Common approach for user authentication is using Personal Identification Number (PIN) and smart card. PINs are vulnerable to various attacks. Tendency of users to choose short passwords or easy passwords makes the passwords vulnerable to various attacks like hidden video recording attack, key-loggers and spyware attacks. Other alternate solution to textual passwords is graphical passwords. Graphical password has a visual element in it, like an image or pattern. There are different mechanisms for graphical authentication such as recognition based and recall based techniques. These passwords are now being used in smart phones, workplaces and login applications. Even though these graphical passwords are easy to remember and use they are not safe from shoulder surfing attack. Shoulder surfing is a major security issue in Automated teller machine (ATM) systems. Here we propose an advanced graphical password approach for ATM systems that tries to overcome the disadvantages of earlier existing approaches.