RETRACTED ARTICLE: Analysing the User Actions and Location for Identifying Online Scam in Internet Banking on Cloud

Although money laundering does seem to be a new problem, the financial crisis generally occurs during an economic recession compared with standard economic development periods. Due to user fraud transactions and tolerance, they encountered numerous issues, particularly with internet banking fraud. Modernization and an enormous impact on online shopping have caused a significant increase in card payments (like credit, debit) worldwide. Increased acceptance and affordability of i-Banking services for online ordering have benefited customers personally, but it has also increased hackers' number. Fraud entails a significant financial level of risk that can adversely affect an economic entity's profit margins and image. In-fractions of a second, the system is capable of Online Transaction Fraud Detection. This method recommends an unchecked method for dynamically profiling a customer's behavioral patterns. This method's importance is that secure authentication credentials are not exposed to banks and cloud authorization servers but enable them to authenticate their remote access. The received transactions are then evaluated by comparing to the customer ID to identify abnormalities, upon which the appropriate warnings are output. This paper aims to provide such a high-level outline of how new technologies can enhance fraud observation within a publicly or privately economic unit.

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