Learning method of detection model for detecting misused virtual asset transaction, detection method of misused virtual asset transaction using detection model, and apparatus and computer program for performing the same

An apparatus for learning a detection model for detecting a misused virtual asset transaction, comprising:

• a memory which stores one or more programs to learn the detection model;
• and
• one or more processors which perform an operation for learning the detection model according to one or more programs stored in the memory,
• wherein the processor is configured to acquire learning including entire virtual asset block information and feature information corresponding to the misused transaction wallet address acquired based on a misused transaction wallet address identified as misused virtual asset transaction and learn a machine learning based detection model with the feature information as an input and misused transaction prediction information as an output based on the learning data, acquire entire transaction information corresponding to the misused transaction wallet address from entire virtual asset block information based on a virtual asset type of the misused transaction wallet address, acquire the feature information corresponding to the misused transaction wallet address from the entire transaction information based on a feature which is determined in advance for every virtual asset type, among the entire features, and acquire the learning data for every virtual asset type, and learn the detection model for every virtual asset type, based on the learning data acquired for every virtual asset type.

A detection method performed by an apparatus including a memory which stores one or more programs to detect a misused virtual asset transaction using a detection model and one or more processors which perform an operation for detecting a misused virtual asset transaction using the detection model according to one or more programs stored in the memory, the detection method comprising:

• acquiring a detection target wallet address, by the processor;
• acquiring input data including entire virtual asset block information and feature information corresponding to the detection target wallet address acquired based on the detection target wallet address, by the processor;
• and
• acquiring misused transaction detection information corresponding to the detection target wallet address based on the input data using the detection model which is trained in advance to be built, by the processor,
• wherein the detection model is a machine learning based model with the input data as an input and misused transaction prediction information as an output,
• the acquiring of input data is configured by acquiring entire transaction information corresponding to the detection target wallet address from the entire virtual asset block information and acquiring the feature information corresponding to the detection target wallet address from the entire transaction information based on a feature which is determined in advance for every virtual asset type, among the entire feature, and
• the acquiring of misused transaction detection information is configured by inputting the input data to the detection model selected based on a virtual asset type of the detection target wallet address among the detection models which are built for every virtual asset type and acquiring the misused transaction detection information based on the misused transaction prediction information which is the output of the detection model.

An apparatus for detecting a misused virtual asset transaction using a detection model, comprising:

• a memory which stores one or more programs to detect a misused virtual asset transaction using a detection model;
• and
• one or more processors which perform an operation for detecting a misused virtual asset transaction using the detection model according to one or more programs stored in the memory,
• wherein the processor is configured to acquire a detection target wallet address, acquire input data including entire virtual asset block information and feature information corresponding to the detection target wallet address acquired based on the detection target wallet address, and acquire misused transaction detection information corresponding to the detection target wallet address based on the input data using the detection model which is trained in advance to be built,
• the detection model is a machine learning based model with the input data as an input and misused transaction prediction information as an output, and
• the processor acquires entire transaction information corresponding to the detection target wallet address from the entire virtual asset block information and acquires the feature information corresponding to the detection target wallet address from the entire transaction information based on a feature which is determined in advance for every virtual asset type, among the entire feature, and inputs the input data to the detection model selected based on a virtual asset type of the detection target wallet address among the detection models which are built for every virtual asset type and acquires the misused transaction detection information based on the misused transaction prediction information which is the output of the detection model.