y-FDS | Big Data / AI | Product

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y-FDS

Abnormal transaction detecting system by using Big data

y-FDS is a solution that detects abnormal electronic financial abnormal transactions.

It can be used for various transaction channels, including online banking, smartphone banking, telephone banking, CD/ATM, HTS, etc. This solution detects abnormal transaction by using Big data technologies with collected financial log of customer tendencies and security information in real time. It is a security solution that helps protect your valuable assets by using user-specific financial transaction profiling information with Hadoop-based big data distributed processing technology.

Technology Architecture

Big Data Framework(Hortonworks Data Platform)

Process Diagram

Key Features

This table is included y-FDS's Classification(Collection/Analysis/Detection/Response), Support Function informations.
Classification	Support Function
Collection	Collected Information Management : Internet Banking, Mobile Banking, Telebanking, CD / ATM, Accident Information, User Information Collection
Analysis	Profiling analysis : profiling information inquiry, transaction history inquiry, profiling information management for each user Abnormal transaction analysis : Selection and addition of detecting pattern of abnormal transaction / modification and detection criteria (blocking, additional authentication, re-detection)
Detection	Detection : profiling detection, detecting the detection pattern of the abnormal transaction, determination target detection
Response	Response : Responding after classifying according to the customer’s policy such as blocking, additional authorization, notification, normal, delayed withdrawal, stop payment, etc.

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