BI-LEVEL AUTHENTICATION FOR ATM USING IOT

Numerous researchers have been attracted to the field due to the significance of security in the authentication process and the growing threat posed by such malware. The current password-based authentication paradigms are insufficiently efficient and robust, as well as susceptible to automated attacks, resulting in the success of numerous attempts to access social network accounts. The simplest alternative is to supplement the single-factor (password-based) authentication process with additional identification elements, such as one-time PIN codes generated by the user’s own device (e.g. a smartphone) or SMS. This project proposes a novel method employing hybrid keyboards to combat shoulder-surfing attacks on authentication schemes. This is an ATM application that uses a PIN-based authentication method. The hybrid keypad combines two keypads with different digit orderings in such a way that the user entering the PIN sees one keypad while an attacker viewing the device from a greater distance sees only the other. Since an attacker may memorize the spatial arrangement of the pressed digits, the user’s keypad is shuffled for every authentication attempt. Based on the analysis, it appears nearly impossible for a surveillance camera to capture a user’s PIN when a hybrid keypad is in use. In a banking application, this method is implemented. The hybrid keypad will be activated when the PIN is entered during application login and when a transaction is performed. Then, provide the Reverse OTP for transactions to be completed. The experimental results demonstrate that the proposed system provides a higher rate of accuracy.