• Journal of the Society of Disaster Information
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• v.17 no.3
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• pp.600-607
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• 2021

Purpose: The purpose of this study is to examine the path of money laundering of criminal proceeds through cryptocurrency using criminal script analysis and to devise measures to prevent and prevent criminal justice agencies from doing so. Method: Based on the results of a prior study on the profit path of cryptocurrency through money laundering and criminal cases in Korea, the path of money laundering was analyzed using criminal script techniques. Result: Most of the cryptocurrencies that have been launched are converted into criminal proceeds, which are re-launched and cashed or have a vicious cycle of being used as criminal funds are used. According to the script, the route of money laundering is mainly converted to criminal proceeds from cryptocurrency exchanges using anonymity, which is repeated several times, making it very difficult to find the money using cryptocurrency in criminal justice institutions. Conclusion: As the method of money laundering using cryptocurrency is becoming more sophisticated, legal sanctions and preventive institutionalization should be prepared for the prohibition or confiscation of cryptocurrency transactions for money laundering after understanding the flow.

• Review of KIISC
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• v.32 no.3
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• pp.19-26
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• 2022

스마트컨트랙트를 사용하는 블록체인 2세대를 넘어오면서 블록체인 생태계는 지속적으로 성장하고 있으며, 블록체인 플랫폼 내에서 자체 발행되는 암호화폐는 다양한 수익 상품들(ICO, DeFi, NFT, Staking 등)을 등장시켰다. 암호화폐가 실물 화폐를 대체할 새로운 대안이라고 여겨지고 있지만, 최근 암호화폐를 악용한 범죄가 증가하고 있다. 특히 시스템을 감염시켜 몸값을 요구하는 랜섬웨어의 경우 기존의 현금을 요구하기보다 자금 세탁에 용이한 암호화폐로 요구하는 빈도가 증가하고 있다. 암호화폐의 경우 손쉽게 믹싱 서비스를 받을 수 있으며, 블록체인의 특성상 모든 트랜잭션을 확인할 수 있음 제3의 신뢰기관이 존재하지 않으며 모든 네트워크는 계좌로 연결되기 때문에 익명성이 보장되어 범죄자들이 자금세탁에 이용하고 있다. 본 논문을 통해 랜섬웨어에 사용되는 암호화폐 자금세탁 사례를 살펴보고 자금 세탁 시 사용되는 믹싱 서비스에 대해서 분석했다. 또한 불법 자금세탁을 식별하기 위한 기술적 연구 동향에 대해서 분석하였다.

• Review of KIISC
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• v.28 no.4
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• pp.48-57
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• 2018

최근 국내외적으로 암호화폐 거래소(이하 '디지털 자산 거래소')를 대상으로 빈번히 발생하고 있는 암호화폐(이하 '디지털 자산') 탈취, 무단 입출금 등 보안 사고를 통하여 자금세탁 및 테러자금조성 등 사회적인 문제를 일으키는 불법 행위가 증가할 가능성이 높다. 본 논문에서는 국제 표준화 기구에서 다루고 있는 디지털 자산 거래소 보안에 관한 표준안, 국내외 법 규정 등을 분석하고 디지털 자산 거래 과정에서 발생할 수 있는 잠재적인 보안 위협을 식별함으로서 자금세탁 및 테러자금조성 방지를 위한 디지털 자산 거래 시스템의 개선 방안을 제시한다.

• The Journal of Bigdata
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• v.1 no.1
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• pp.85-94
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• 2016

Traditional Anti-Money Laundering (AML) software applications monitor bank customer transactions on a daily basis using customer historical information and account profile data to provide a "whole picture" to bank management. With the advent of Big Data, these applications could be benefited from size, variety, and speed of unstructured data, which have not been used in AML applications before. This study analyses the weaknesses of a bank's current AML systems and proposes an AML systems taking advantage of Big Data. For example, early warning of AML risk can be improved by exposing identities and uncovering hidden relationships through predictive and entity analytics on real-time and outside data such as SNS data.

• Journal of Intelligence and Information Systems
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• v.14 no.2
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• pp.179-192
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• 2008

This case study shows constructing the knowledge-based system using a rule-based approach for detecting illegal transactions regarding money laundering in the Korea Financial Intelligence Unit (KoFIU). To better manage the explosive increment of low risk suspicious transactions reporting from financial institutions, the adoption of a knowledge-based system in the KoFIU is essential. Also since different types of information from various organizations are converged into the KoFIU, constructing a knowledge-based system for practical use and data management regarding money laundering is definitely required. The success of the financial information system largely depends on how well we can build the knowledge-base for the context. Therefore we designed and constructed the knowledge-based system for anti-money laundering by committing domain experts of each specific financial industry co-worked with a knowledge engineer. The outcome of the knowledge base implementation, measured by the empirical ratio of Suspicious Transaction Reports (STRs) reported to law enforcements, shows that the knowledge-based system is filtering STRs in the primary analysis step efficiently, and so has made great contribution to improve efficiency and effectiveness of the analysis process. It can be said that establishing the foundation of the knowledge base under the entire framework of the knowledge-based system for consideration of knowledge creation and management is indeed valuable.

• Journal of the Society of Disaster Information
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• v.18 no.3
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• pp.600-608
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• 2022

Purpose: The purpose of this study is to examine the types of crimes taking place using NFT in P2E games, and to devise measures to prevent crimes and legal sanctions between the government and companies. Method: In order to classify crime types in the metaverse, crime types were analyzed based on the results of previous studies and current incidents. Results: Most of the crimes taking place through NFTs in P2E games are hacking, money laundering, and copyright issues. Although games are regulated in Korea, these are crimes that can occur if game regulations are loosened in the future. Therefore, crime types were classified into hacking, money laundering, tax evasion, copyright issues, and game speculation, and various cases of damage have already occurred in foreign countries. Conclusion: Currently, no crimes are occurring in Korea due to game regulations, but as seen in foreign cases, large amounts of hacking and money laundering using NFTs are taking place in Korea. this will have to be provided

• Journal of Internet Computing and Services
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• v.19 no.5
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• pp.1-11
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• 2018

The Blockchain is a technique that prevents data from being manipulated and guarantees the integrity and reliability of the data by all participants in the network jointly owning and validating the data. Since the Blockchain characterized by security, scalability and transparency, it is used in a variety of fields including logistics, distribution, IoT and healthcare, including remittance. In particular, there is a growing interest in smart contract that can create different forms of contracts and automate implementation based on Blockchain. Smart Contract can be used to pre-programme contracts and are implemented immediately when conditions are met. As a result, digital data can be more reliable. In this paper, we are conducting a study on the smart contract design as a way to solve such problems as illegal misuse of funds on virtual currency, which has become an issue recently. Through this process, we applied the customer identification and money laundering prevention process using smart contract, and then check the possibility of preventing money laundering and propose the ASM (AML SmartContract Mechant) design.

• IE interfaces
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• v.18 no.3
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• pp.268-276
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• 2005

In recent years, the money Laundering crimes are increasing by means of foreign exchange transactions. Our study proposes four scoring models to provide early warning of the laundering in foreign exchange transactions for both inward and outward remittances: logistic regression model, decision tree, neural network, and ensemble model which combines the three models. In terms of accuracy of test data, decision tree model is selected for the inward remittance and an ensemble model for the outward remittance. From our study results, the accumulated number of transaction turns out to be the most important predictor variable. The proposed scoring models deal with the transaction level and is expected to help the bank teller to detect the laundering related transactions in the early stage.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.434-435
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• 2024

가상자산은 온라인상에서의 투명성과 익명성을 통해 금융서비스 및 전자상거래 발전의 핵심으로 주목받아왔으나, 다크웹에서 사기(Scam) 및 랜섬웨어 등을 통한 자산 탈취의 대상이 되고 있다. 공격자는 익명성을 높이는 자금세탁 기법을 활용하여 탈취한 가상자산의 추적을 우회하며, 이로 인해 피해자에게 정상적인 피해보상이 어려운 실정이다. 본 연구에서는 가상자산 사기 주소에 대한 탈취를 목적으로 한 공격자의 사기 유형을 파악하고, 피해를 최소화하기 위해 대표적인 가상자산 피해 신고 사이트 Chainabuse의 사기 주소에 대한 Top Scammer 주소 수집 및 사기 동향 분석이 가능한 시스템을 제안한다.

• Review of KIISC
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• v.28 no.3
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• pp.11-17
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• 2018

세계적 열풍의 중심인 비트코인에는 많은 이슈가 발생하고 있다. 특히 비트코인의 익명성은 사회적으로 중요한 문제이다. 비트코인이 익명성을 보장하지 못할 경우 거래내역이 공개되어 프라이버시가 노출될 수 있다. 반대로 비트코인이 익명성을 보장할 경우 마약 거래, 자금 세탁, 랜섬웨어 공격 등의 각종 범죄가 발생할 수 있다. 이밖에도 다양한 상황에 적절한 대처를 하기 위해서는 비트코인 기술에 대한 정리와 이해가 필요하다. 본 논문에서는 비트코인의 익명성을 약화시키는 클러스터링 기술과, 비트코인의 익명성을 강화시키는 믹싱 프로토콜 기술에 대한 연구 흐름을 정리하였다.