Research On The Investigation And Prevention Of Cyber Laundering

Compared with the traditional money-laundering crime,the crime of cyber laundering is a new form of crime,which is different from the traditional money-laundering using the means of manual carrying,underground money-laundering,the way of network money-laundering has changed dramatically,criminals through computer network technology,using various platforms of the network to carry out money-laundering activities,these money-laundering methods are all new crime patterns,but also because the crime of network money-laundering crime is on the Internet,it has its own inherent characteristics,including the diversity of means,lack of supervision and so on.These features shorten the time and space span of network money laundering and allow public security organs to crack down on and guard against the network Money laundering crime becomes very difficult.As the predicate crime of money laundering,smuggling crime,drug crime,organized crime of underworld nature,etc.,show the trend of increasing scale and advanced criminal means,the scale of network money laundering crime is also increasing and becoming more and more hidden,breaking through the existing investigation and prevention system of network money laundering crime in public security organs,which brings great challenges to investigators to investigate and prevent money laundering crime.In order to effectively suppress the crime of network money laundering,this paper discusses from two aspects of investigation and prevention,and puts forward countermeasures.In the aspect of investigation,by analyzing various difficulties of the crime of network money laundering,the corresponding countermeasures are put forward In the area of prevention,by analysing the current difficulties faced in the prevention of cybercrime,it is not possible to meet the expected requirements of money-laundering crime prevention efforts,and to propose measures to prevent money-laundering crimes that are different from the traditional one from the perspective of big data.