Presentation of the data model for fraud prevention in online payments
We present the data model we will use for our project to create a fraud prevention model for online payments.
This data model is designed to track transactions and fraud alerts. It includes the following tables:
Customer: Stores customer information, such as their name, address, and credit card number.
Bank Account: Stores bank account information, such as the balance and transaction history.
Transaction: Stores transaction information, such as the amount, date and time, and transaction type.
Fraud Alert: Stores fraud alert information, such as the date and time of detection, a description of the reason for suspicion, and the alert status.
#fraud; #fraudprevention; #onlinepayments; #datamodel; #java; #springboot; #postgresql; #docker
00:00 Introduction
00:17 Data Model Description
02:37 Relationships Between Tables
05:54 Tools Used
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