S2w Inc.

Changhoon Yoon

Seung Hyeon Lee

Sang Duk Suh

The present invention relates to a method for collecting data from a multi-domain in a data collection device. The method includes a step A of collecting data from a general web that is accessible through a search engine; a step B of collecting data from a dark web site that is not accessible with a general web browser and is accessible with preset specific software; and a step C of standardizing the collected data in a preset format and generating metadata for the collected data.

Method, device and computer program for collecting data from multi-domain

The present invention relates to a method for processing a knowledge graph in a data processing apparatus, comprising the steps of: (a) creating a knowledge graph including a taxonomy graph for a classification system of information objects and an entity graph for a relationship between specific information object instances; (b) updating the knowledge graph by reflecting the information objects extracted from a database in the knowledge graph; and (c) inferring the relevance of a random information object by using the updated knowledge graph.

Method, apparatus, and computer program for providing cyber security by using a knowledge graph

The present disclosure relates to a method for detecting a scam address of cryptocurrency using a machine learning model, and the method comprises: acquiring information about scam addresses labeled as being used for a scam transaction and information about benign addresses labeled as being used for a normal transaction from a database; acquiring information about a mule address group used for money laundering on the basis of the scam address group; acquiring feature information corresponding to each of the benign addresses and the addresses included in the scam address group or the mule address group on the basis of at least one of the information about the benign addresses, the information about the scam address group, and the information about the mule address group; and generating a machine learning model by machine learning of the feature information corresponding to each of the addresses and label information corresponding to each of the addresses.

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Gyeonggi-do, South Korea

Changhoon Yoon