S2w Inc.

Korea Advanced Institute of Science and Technology

Sang Duk Suh

Seung Hyeon Lee

Changhoon Yoon

Seung Won Shin

Chang Hoon Yoon

Myoung Sung You

Yong Jae Lee

Jin Woo Chung

Yeon Keun Kim

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

According to the present specification, a method for inspecting a high-speed network packet payload by a terminal includes: a step of receiving L7 (Layer 7) policy related to containers from a user; a step of extracting string patterns to be inspected for each of the containers on the basis of the L7 policy through a pattern compiler; a step of creating a deterministic finite automaton (DFA) on the basis of the extracted string patterns through the pattern complier; and a step of converting a state transition table of the deterministic finite automaton into a match-action table through the pattern compiler and storing the match-action table in an eBPF (extended Berkeley Packet Filter) map for a payload inspection engine.

High-speed network packet payload inspection system based on eBPF (extended Berkeley Packet Filter)/XDP (express data path) for container environment

A method for securing network communication between containers by a terminal, includes: a step of installing an HSI (Hyperion Secure Interface) for communication with a secure bridge included in an NIC (Network Interface Chip) in a secure container through a manager module; a step of changing a source address of a transmission packet to a specific token on the basis of a map of the HSI through the manager module; a step of delivering the transmission packet to the secure bridge through the HSI; a step of determining whether the specific token of the transmission packet is valid; and a step of changing the specific token to the source address and delivering the transmission packet to a target container when the specific token is valid.

Hardware-based reliable and secure container network

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.

Cryptocurrency transaction analysis method and apparatus

The present disclosure relates to a method of collecting, by a terminal, learning data of an artificial intelligence model to perform dark web document classification, the method including: generating a first word set masked with a first identifier based on text included in a first dark web document; generating a second word set masked with a second identifier based on text included in a second dark web document; calculating a similarity by comparing the first word set and the second word set; and, based on the similarity, collecting the second dark web document in a second storage unit when the similarity does not exceed a specific value, and discarding the second dark web document when the similarity exceeds the specific value.

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Gyeonggi-do, South Korea

Sang Duk Suh