The construction of analysis model of bank customer abnormal behavior based on big data

Abstract: With the large data of security data, traditional security analysis faces many challenges. With the emerging concept of intelligent security and situational awareness, large data analysis is the security field solution. Traditional anti-money laundering compliance management tools, such as the associated database management system, are no longer able to meet the needs of modern banks for anti-money laundering compliance, especially when banks are involved in cross-border transfer of funds, the traditional anti-money laundering compliance management tool Is seem "stretched". At present, large data analysis methods have been widely used in the field of business intelligence, and achieved very satisfactory results. This method can also be applied in the field of information security, for the discovery of information system anomalies. Using large data analysis method to find abnormal events, need to meet a few conditions: 1) behavior log in the content must be sufficient detail, you can distinguish from the log content of normal behavior and abnormal behavior. It is assumed that abnormal behavior, regardless of how normal the surface, always in the details of the difference with the normal behavior. 2) for different analysis objectives, the choice of appropriate analysis algorithm. 3) Reasonable modeling of behavior description. So in this paper, we use the method of large data mining analysis to establish a bank customer abnormal behavior analysis index construction. This paper presents seven representative indicators. And ultimately through the analysis of large data to help us build the final model and analysis. And the establishment of our model is designed to help our smooth progress in anti-money laundering work with the scientific basis for scientific data.

Keywords: Large data; abnormal events; persity; abnormal behavior; modeling

目录

目录 1

1 引言 1

1.1 课题研究背景和意义 1

1.2 国内外研究现状和发展 2

1.3 论文的主要工作内容 8

1.4 论文组织结构 8

1.4 本章小结 8

2 Android技术与理论 10

  2.1 ANDROID系统开发简介 10

2.2 ANDROID应用的构成和工作机制 18

2.2 本章小结 18

3 需求分析 19

3.1功能需求分析 19

3.2 性能需求分析 26

3.1数据库需求分析 19

3.1本章小结 19

4 功能设计 27

4.1 总体设计 27

4.2 系统功能设计 28

4.3系统数据库设计 34

4.4 本章小结 34

5 总结与展望