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

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

• Journal of Intelligence and Information Systems
• /
• v.14 no.2
• /
• pp.179-192
• /
• 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 Internet Computing and Services
• /
• v.19 no.5
• /
• pp.1-11
• /
• 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.

• Information Systems Review
• /
• v.22 no.4
• /
• pp.135-161
• /
• 2020

With the growth of blockchain and cryptocurrency-related markets, cryptocurrency exchanges are growing as a new industry. However, as the legal and regulatory definitions of cryptocurrencies are still in progress, unlike existing industrial groups, they are not under the supervision of regulatory agencies. As a result, users (i.e., cryptocurrency investors) have suffered two types of damage that could occur from hacking and other accidents on the exchanges. One type of the damage is the loss of assets caused by the extortion of personal information or account and the other is the damage from users who might be involved in external frauds. Both are analyzed in comparison with existing operators whose functions are like the exchanges. The results of this study show that membership (KYC: Know Your Client), log-in, and additional authentication in transactions are on the similar level to those of the operators while the fraud detection system (FDS) and anti-money laundering (AML) of fiat currencies and cryptocurrencies need rapid improvement.

• International Commerce and Information Review
• /
• v.19 no.4
• /
• pp.95-124
• /
• 2017

The dispute analysed in this article concern eight measures taken by Argentina regarding finance, taxation, foreign exchange, and registration. The dispute centered on whether these measures were in violation of the Member's obligations under the General Agreement on Trade in Services (GATS), namely most-favored national treatment, national treatment and market access, and whether they are justified by Article XIV and Article 2(a) of the Annex on Financial Services. Important arguments raised in the dispute include whether the services and the service providers of cooperative and non-cooperative countries and/or Argentina subjected to the measures are like for the purposes of Article II and Article XVII of the GATS, whether the regulatory aspects of the measures are to be considered in determining the inconsistency with Article II and Article XVII of the GATS, and whether the measures are justified in that they were taken in accordance with the national laws and regulations aimed at implementing the Global Forum on Transparency and Exchange of Information for Tax Purposes and the Financial Action Task Force. The essence of this dispute lies in the balance of each Member's right to regulate commercial and/or financial activities and its obligations under the GATS. The Appellate Body tried to strike such a balance in its assessment of: (i) likeness of services and service suppliers, (ii) no less favorable treatment under Articles II and XVII, and (iii) the scope of measures under Article 2(a) of the Annex on Financial Services. This article aims to provide an analysis of the Appellate Body's findings, giving light to the relevant jurisprudence and scholars' writings.

• Strategy21
• /
• s.37
• /
• pp.242-274
• /
• 2015

2015년 5월 수중발사 탄도미사일(SLBM) 발사시험을 통해 북한은 전 세계의 이목을 또 다시 집중시켰다. 북한은 2013년 제3차 핵실험을 감행한 이후 최근까지도 탄도미사일과 로켓 발사 등의 무력도발을 지속해 왔다. 이와 같은 북한의 무력도발은 한반도의 안정뿐만 아니라 미국 본토의 안보에도 매우 부정적인 영향을 미치고 있다. 지금까지 미국은 북한의 핵미사일 개발 저지를 위해 경제적 또는 군사적 방안들을 선별적으로 적용해 왔다. 그러나, 이러한 미국의 노력에도 불구하고 북한은 여전히 핵미사일을 개발하겠다는 꿈을 포기하지 않고 있는 것이 사실이다. 본 논문은 북한의 핵미사일 개발에 대한 미국의 대안적 전략(Alternative Strategy)을 제시하는데 그 목적이 있다. 필자는 대안적 전략 제시에 앞서 북한의 핵과 탄도미사일 개발현황을 내용(Contents)과 맥락(Context) 차원에서 분석하고 미 오바마 행정부의 대북전략을 비판적으로 검토하였다. 그리고 대안적 전략으로 동맹국과 함께 경제적(Sticky Power), 군사적(Sharp Power) 수단의 동기화(Synchronizing)를 통해 북한이 감당하기 힘든 전략적 환경을 조성(Shaping the Strategic Environment)하는 것이 '북한의 핵개발 포기' 라는 전략목표를 달성하는 방안 임을 강조하고 있다. 미국이 대안적 전략목표를 달성하기 위해서는 경제적 수단으로 ① 북한의 자금세탁 및 위조지폐 발행국 지정, ② 북한을 지원하는 모든 해외자산에 대한 제재조치, ③ 북한의 테러지원국 재지정, ④ 북한 제재를 위한 미국의 입법추진, ⑤ 대량살상무기 관련 금수품목의 확대를 적용함과 동시에 군사적 수단으로 ① 대량살상무기 비확산 활동 강화, ② 대탄도미사일 전략 개발 및 정보(ISR: Intelligence Surveillance and Reconnaissance) 공유, 맞춤형 억제전략(TDS: Tailored Deterrence Strategy)의 구체화 등을 통한 한·미 군사 억제방안의 강화, 그리고 ③ SM-3, THAAD(Terminal High Altitude Area Defense) 등 한·미·일 3자간 MD(Missile Defense)체제의 구축 등을 동기화하여 적용해야만 할 것이다. 미국의 대안적 전략은 ① 북한의 핵미사일 개발에 대한 중국의 협력방지, ② 한·중간 경제관계의 악화, ③ 한·일간의 역사적 긴장관계라는 위험요소를 내포하고 있는 것 또한 사실이다. 따라서 미국이 대안적 전략목표인 '북한의 비핵화' 달성을 위해서는 이와 같은 위험요소를 완화시키는 노력도 병행되어야 할 것이다. 끝으로, 미국은 북한의 김정은이 핵미사일 개발 포기라는 상이한 방향의 전략적 결정을 할 경우에 대비하여 한·미 연합훈련의 보류, 북한에 대한 경제제재조치 해제 등 북한과의 협상 가능성도 열어두고 이에 대해서도 철저하게 준비해 나가야 할 것이다.

• Industry Promotion Research
• /
• v.8 no.2
• /
• pp.21-27
• /
• 2023

This study studies the policies and use cases of the government and the financial sector for artificial intelligence, and the future policy tasks of the financial sector. want to derive According to Gartner, noteworthy technologies leading the financial industry in 2022 include 'generative AI', 'autonomous system', 'Privacy Enhanced Computation (PEC) was selected. The financial sector is developing new technologies such as artificial intelligence, big data, and blockchain. Developments are spurring innovation in the financial sector. Data loss due to the spread of telecommuting after the corona pandemic As interests in sharing and personal information protection increase, companies are expected to change in new digital technologies. Global financial companies also utilize new digital technology to develop products or manage and operate existing businesses. I n order to promote process innovation, I T expenses are being expanded. The financial sector utilizes new digital technology to prevent money laundering, improve work efficiency, and strengthen personal information protection. are applying In the era of Big Blur, where the boundaries between industries are disappearing, the competitive edge in the challenge of new entrants In order to preoccupy the market, financial institutions must actively utilize new technologies in their work.

• Journal of forensic and investigative science
• /
• v.1 no.2
• /
• pp.5-19
• /
• 2006

Data mining is an information extraction activity to discover hidden facts contained in databases. Using a combination of machine learning, statistical analysis, modeling techniques and database technology, data mining finds patterns and subtle relationships in data and infers rules that allow the prediction of future results. Typical applications include market segmentation, customer profiling, fraud detection, evaluation of retail promotions, and credit risk analysis. Law enforcement agencies deal with mass data to investigate the crime and its amount is increasing due to the development of processing the data by using computer. Now new challenge to discover knowledge in that data is confronted to us. It can be applied in criminal investigation to find offenders by analysis of complex and relational data structures and free texts using their criminal records or statement texts. This study was aimed to evaluate possibile application of data mining and its limitation in practical criminal investigation. Clustering of the criminal cases will be possible in habitual crimes such as fraud and burglary when using data mining to identify the crime pattern. Neural network modelling, one of tools in data mining, can be applied to differentiating suspect's photograph or handwriting with that of convict or criminal profiling. A case study of in practical insurance fraud showed that data mining was useful in organized crimes such as gang, terrorism and money laundering. But the products of data mining in criminal investigation should be cautious for evaluating because data mining just offer a clue instead of conclusion. The legal regulation is needed to control the abuse of law enforcement agencies and to protect personal privacy or human rights.