EXPRESSIVE AND DEPLOYABLE UPI SEAMLESS TRANSACTION USING RNN ALGORITHM

This In today’s world, banking plays an indispensable role among all people. If the banking is user friendly then it would benefit all users. So this situation has forced us to move towards mobile banking system. Emerging technologies have supported people with mobile devices and data connections. Mobile banking applications provide an easy door-step solution for customers. In the current trend of digital and cashless economy, mobile based app solutions are comprehensible and omnipresent, expediting a wide range of banking financial services and non–financial services. UPI is one of the mobile based applications which facilitates online transaction. It is simple and reliable application. Besides positives, there are also some hidden security issues to be resolved. UPI uses PIN to complete the transaction. The PIN entry can be noticed by nearby adversaries. Hence, a direct observation attack based on shoulder surfing becomes a great concern. To cope up with this issue, we come up with the solution of providing high level security after acknowledging that there was a pitfall with the assumption of the previous methods. In our proposed method, we strongly focus on security by proposing a novel approach called Covert Attentional Shoulder Surfing (CASS). In our proposal, we also implement the RNN Classifiers to analyse the behavior characteristics of the user to detect or to resist access by unauthorized people. Our solution or model is also supported by all platforms. It is designed to be used in all platforms (platform Independent) like Android, IOS and other mobile platforms..