Abstract:
We developed a website that may prevent and block attackers from using legitimate users’ credit card details. For transactions above the customer’s limit, this system is designed. We sought to catch fraudulent transactions before they happened.
We collect necessary information during registration to detect fraud. Behavior and Location Analysis is shown here. Credit card issuers’ Fraud Detection Systems (FDSs) rarely know the details of individual transactions. BLA was implemented to fix this.
BLA reduces FDS-identified malicious false positives which are genuine. Credit card banks run FDSs. The FDS verifies all incoming transactions. FDS verifies card data and transaction value to ensure authenticity.
The FDS does not know what was purchased. Bank rejects transaction if FDS confirms fraud. Geographic location and spending patterns validate identity. Recheck the system if any unexpected pattern is found. The algorithm detects anomalous payment habits based on that user’s historical data. The system blocks users after 3 invalid tries.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
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