Study On The Application Of Big Data In The Money Laundering Crime Investigation

The serious harm caused by money laundering crimes has been deeply understood by people since it was created.In particular,with the popularization of the Internet and the development of information technology,the means and methods of money laundering crimes have become more diverse,presenting new features such as complexity,specialization,and intelligence.At present,the rapid development of Internet finance and virtual currency has spawned a large number of third-party payment and financial platforms(such as Alipay and P2 P lending platforms)and virtual currencies(such as Bitcoin and Litecoin),which is giving criminals more opportunities.More and more money-laundering crimes are being operated through the Internet,not only is the transfer of funds faster and more difficult to detect,it has brought great challenges to the investigation.At present,the number of money-laundering crimes and the amount involved in crimes have increased year by year,and they have emerged as a combination of corruption crimes,smuggling crimes,which seriously threaten China's economic order and national security.Crime is more technologically advanced and internationally enhanced.Traditional investigative methods have been difficult to meet the need for rapid and effective detection of such crimes.For the application of big data in money-laundering criminal investigation,thebiggest advantage of the development of big data is that it can acquire a large amount of involved data,and through its own structure,algorithms,and platforms,it effectively handles the disorganized data involved.Dig out the hidden connections behind the data.Traditional investigations collect and analyze the data involved in money laundering crimes,which often require the experience of investigators.At the same time,they are subject to a variety of subjective and objective factors.The work efficiency is not high and errors easily occur.Big data automatically collects,screens,and cleans data.Excluding the influence of subjective factors to a great extent,it also objectively improved work efficiency.Big data can not only collect and organize data quickly,but also help investigators better understand the relationship between case clues and find more effective information.Further analysis of the characteristics of money-laundering crimes,establish a predictive early-warning system,and increase the initiative of investigating agencies in combating such crimes.Therefore,the application of big data to the investigation of money-laundering crime is the general trend,which has brought benefits to the investigation organs to combat money-laundering crime cases,to provide investigative ideas and improve the efficiency of investigation.Of course,the development of big data also has its own problems.For example,the technical limitations of big data itself,and the privacy intrusion it violates,and the mandatory nature of the investigation right,whether the combination of the two is a normal life for citizens.There are still some areas that need to be further explored in terms of the adverse effects and irregularities in practice operations.The specific structure of this article is as follows:The first chapter is an overview of money laundering crimes and big data.First of all,introduce the concept and characteristics of money laundering crime so that readers have a basic understanding of the origin of money laundering crimes.Secondly,on the basis of understanding the essence of money laundering crimes,the focus is on the plight of anti-money laundering crimes in the substantive departments,and the difficulties in combating money laundering crimes are elaborated.Finally,the application of big data to money-laundering criminal investigation is the developmenttrend of the times.The second chapter mainly introduces the concept and characteristics of big data through the previous chapter.Based on the reader's preliminary understanding of this emerging issue of big data,it further explores the feasibility of big data applied to money-laundering criminal investigation and shows that money laundering and explains the principle of big data application in criminal investigation.The third chapter mainly elaborates the specific application of big data in the investigation of money laundering crimes in a special chapter,how to dock with the practice work,and give full play to the role of big data.From the theoretical level,the application of big data is introduced in detail,and how to obtain,optimize,and analyze data.And in connection with related theories from the early warning,investigation and other aspects of the application of big data in the investigation practice.The fourth chapter mainly focuses on the possible problems arising from the application of big data in money-laundering criminal investigation and proposes specific safeguard measures.The application of big data detection practice needs technical support.At the same time,it should also balance the relationship between data applied to privacy protection.Therefore,it is necessary to regulate the system and laws.This chapter mainly focuses on the sharing of data,the management and control of security,the training level of big data investigation talents,and the improvement of relevant legal systems for big data,so that big data will play a better role in future investigations.