某基层央行反洗钱监测与管理系统的设计与实现

发布时间：2018-06-28 02:24

本文选题：基层央行 + 反洗钱　；参考：《湖南大学》2014年硕士论文

【摘要】：洗钱不仅仅会对金融行业的健康发展产生影响，而且还会严重破坏经济建设和社会稳定，因而它具有非常大的危害性。主要经营货币资金业务的银行业，最容易被洗钱犯罪分子利用，往往成为不法分子开展洗钱活动的主要渠道。伴随着当前经济金融形势的不断变化，基层金融机构反洗钱的工作任务也逐渐繁重起来。根据当前基层地区反洗钱工作的实际开展情况来看，受阻于内部控制、认识层次、技术手段及组织机构等，基层金融机构反洗钱工作仍然存在不少问题。本文主要将对基层人民银行机构反洗钱工作进行剖析，并提出解决问题的对策及建议。本文在结合某基层央行反洗钱现状的基础上，采用数据挖掘技术，完成了反洗钱监测与管理系统的开发，从而更为有效地识别并防范基层央行的洗钱犯罪活动。本文首先分析了开发反洗钱监测与管理系统的背景与意义，阐述了文章研究的主要内容和结构，并且对国内外反洗钱监测与管理系统研究动态进行阐述，进一步深入了解并分析某基层央行反洗钱的现状及存在的问题。然后在介绍洗钱与反洗钱的基本定义基础上，进一步对反洗钱监测与管理系统及数据挖掘技术进行概述，并提出该系统的总体设计思路。同时，基于一定的系统设计目标和原则，从功能模块和市场需求两个角度重点阐述了反洗钱监测与管理系统的需求分析，并通过功能模块设计、数据库设计、系统处理流程设计、接口设计、网络架构设计，来完成整个系统的设计，其中重点是阐述系统处理流程的设计过程和功能模块的设计过程。在此基础上，基于数据挖掘技术，在阐述系统的基本开发环境和工具的基础上，通过对系统管理、预警管理、调查管理和上报管理四个子系统的实现来完成反洗钱监测与管理系统的开发，同时对系统进行了测试，并给出测试结果。最后，，文章归纳了本文的研究成果，指出文章后续可能的研究动向，指出文章存在的不足和可以进一步改进的地方。
[Abstract]:Money laundering will not only have an impact on the healthy development of the financial industry, but also seriously undermine economic construction and social stability, so it has great harm. The banking industry, which mainly deals in the money fund business, is the most easily used by the money laundering criminals, and it is often the main channel for the illegal elements to carry out the money laundering activities. With the change of current economic and financial situation, the task of anti-money-laundering of financial institutions at grassroots level is becoming more and more heavy. According to the actual situation of anti-money laundering work in grass-roots areas, there are still many problems in the anti-money laundering work of grass-roots financial institutions, such as internal control, cognitive level, technical means and organization. This paper will analyze the anti-money-laundering work of the basic people's Bank of China, and put forward the countermeasures and suggestions to solve the problem. On the basis of the current situation of anti-money laundering of a grass-roots central bank, this paper uses data mining technology to complete the development of anti-money laundering monitoring and management system, so as to more effectively identify and prevent the basic central bank's money laundering criminal activities. This paper first analyzes the background and significance of the development of anti-money laundering monitoring and management system, expounds the main contents and structure of the article, and expounds the research trends of anti-money laundering monitoring and management system at home and abroad. Further understanding and analysis of a grassroots central bank anti-money-laundering status and existing problems. Then, on the basis of introducing the basic definition of money laundering and anti-money laundering, the paper summarizes the anti-money laundering monitoring and management system and data mining technology, and puts forward the overall design idea of the system. At the same time, based on certain system design objectives and principles, this paper focuses on the requirement analysis of anti-money laundering monitoring and management system from the two angles of function module and market demand, and through the design of function module and database design, System processing process design, interface design, network architecture design, to complete the design of the system, which focuses on the system processing process design process and functional module design process. On this basis, based on data mining technology, on the basis of describing the basic development environment and tools of the system, through the management of the system, early warning management, The implementation of four subsystems of investigation management and report management to complete the development of anti-money laundering monitoring and management system. At the same time, the system is tested, and the test results are given. Finally, the paper summarizes the research results of this paper, points out the possible research trends in the future, points out the shortcomings of the article and points out the areas that can be further improved.
【学位授予单位】：湖南大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP311.52;F832.2

【参考文献】