Design of Real-time Money Laundering Detection System with Big Data Analytics
| Autor: | Tzung-Shian Li, 李宗憲 |
|---|---|
| Rok vydání: | 2017 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 105 Applying Big Data is not new in the FinTech world, in fact it has been around for years. By filtering irrelevant information, the enterprises are able to focus on useful information that reduces risk and identifies the possibility of positive returns. On the other hand, intelligent manufacturing industry focuses on the integration of Internet of Things, cloud computing and big data analytics in the Industry 4.0. In this study, we focused on the big data analytics, having three properties: velocity, variety and volume. In Big Data analytics, all of the data was unstructured data, which means that data with no fixed data structure and undefined logical relationships, such as industry data, financial data, etc.Especially, money laundering is one of a popular issue in recent years.Therefore, the governments and financial regulators require financial institutions to implement preventive measure processes for money laundering as well as the financing of terrorism. In this research, we proposed a real time money laundering detection system to alarm the relative personnel in order to response to potential unusual transactions. We used the amount money concept of relativity to judge money laundering activity in this system. The proposed real-time system could take shortest execution time, almost real-time, despite of not the best performance focusing on detection possible money laundering transactions activity rapidly. The system was capable of classification normal transaction and unusual transaction so that it could self-learning to improve this system from classified dataset. We conducted big data analysis and used dataset from the case study in the field of financial institutions to verify the proposed system. Finally, we compared performance and execution time of the proposed real time system with different intelligent algorithms. Furthermore, this system not only used for this case data but also it can apply others relatively data. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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