Study On The Control Mechanism Of Network Financial Crime Based On Social Cybernetics

The network finance has developed rapidly with the deepening of network and information technology,which has had a significant impact on people's financial management,consumption,investment and other financial activities.At the same time,the network of financial crime should also be born.Its high incidence and the emergence of new crimes urgently need the innovation of theory and practice.This research is carried out from the perspective of social control theory with the integration of social control theory,system theory,cybernetics,information theory and other related theories.Taking the control of network financial crime as the target,the author draws lessons from the enterprise production of "5s" analysis and puts forward making a comprehensive analysis from the aspects of human,machine,department,legislation and environment.We studied three different methods of white box,gray box and black box,then selected the neural network system and the model is composed of closed loop control system by monitoring.At the same time,according to the controllable theory of the control system,we concluded that the network financial crime system is controllable.Taking the case of Puyang City,Henan Province in the year of 2016 as the sample,we adopt the scale contrast method to compare the key affecting factors of multiple samples transversely and established evaluation index system with the local actual situation.Finally,it is proved that the model proposed in this paper is effective and has certain theoretical and practical value.