AUTOMATIC USER MISBEHAVIOR DETECTION IN CREDIT CARD TRANSACTION

Abstract

In recent years the data mining technique is implemented but the Big Data concept is emerging. Data Mining can process
only structured data only. So there is no proper function to extract useful information from instructed data and it is very less
effective. The fundamental challenge for Big Data applications is to explore large amounts of data and extract useful information
for future action. By this there is no security for the credit card usage. In this paper, we will discuss about the misbehavior of
credit card using the big data. So now the user credit card details (mobile number etc.) and all the credit card transactions will be
stored in the server and it will also analyze time to time. Now the credit card user sets a range of transaction like amount
and frequency in particular amount and time. So when the user crosses the range of transaction then an OTP will be generated to
the user mobile. By there will be more safety for users in case of misuse of credit card in case it is lost or stolen by someone and
this process is also more effective.