FDS
FDS
Fraud detection system defines the fraud types against the various fraud and crime types and improper transactions faced by an enterprise, and is an integrating managed system that captures and manages those transactions in advance.
- It was common for businesses to react one step later after experiencing financial losses by dealing with most fraudulent transactions. Fraud Prevention systems predict fraud based on a comprehensive and scientific analysis of fraud, helping businesses to streamline their operations and prevent fraud from damaging themselves in the advance.
- It improves detection rates by measuring patterns for various criminal and fraudulent transactions, such as insurance fraud, fraud on lost cards, smuggling, counterfeit goods, and tax evasion that are in serious troubles from the financial and public institutions.
Fraud detection system
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Information Collection
- Create Fraud Risk Data Mart to Efficiently Manage FDS Systems
: Identification, Changed Customer, Limit Inquiry, Terminals, Channel, Transaction, and Accident Information
- Create Fraud Risk Data Mart to Efficiently Manage FDS Systems
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Accident Types Rule & Scenario
- Create Fraud Type Rules and Scenarios to Proactively Recognize and Alert Financial and Public Institutions of Fraud: Classification of Accident Patterns by User Type, Various Correlation Analysis, Rule Check, and Transaction Type
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Fraud Detection Model
- Development of Fraud Risk Scoring Model Using Data Mining Techniques for Evaluating Fraud and Providing Business Priority Information
- Development of Fraud Link Analysis Model for Detailed Analysis of the Conspirator and Fraud Signs