A Study On The Optimization Path Of Joint Policing And Corporate Governance Of Telecommunications Network Fraud Crimes

With the progress of social and economic development and the advancement of communication and internet technology,the issue of telecom network fraud has become increasingly serious.As the government department responsible for maintaining social security and combating crimes in accordance with the law,the public security organs play a major role in the governance of telecom network fraud.However,telecom network fraud is extremely complex,and it cannot be effectively managed by the public security organs alone.Therefore,the governance of telecom network fraud requires the participation of multiple social actors,including the public security organs,telecom,financial,and internet enterprises,to form a comprehensive force.On September 2,2022,the "Anti-Telecom Network Fraud Law of the People’s Republic of China" was officially passed,providing legal protection for the governance of telecom network fraud,and making clear requirements for joint governance between public security organs and telecom,financial,and internet enterprises.Through literature analysis and field research,it has been found that there are many difficulties in the collaborative governance of telecommunications network fraud between the police and enterprises.The main points are as follows: firstly,the characteristics of the crime itself make it difficult to govern.Secondly,due to the lack of enthusiasm in handling cases,high case costs,insufficient professional knowledge in communication,finance,etc.,and low internal combat effectiveness,the police are unable to effectively crack down on the crime.Thirdly,due to the lack of awareness of main body responsibility,high cost of active performance,and lax industry regulation,the willingness of enterprises to actively perform their duties is not strong.Fourthly,there are many problems in the interaction and cooperation mechanism between the police and enterprises,such as imperfect cooperation mechanism,lack of mutual trust,difficult to break through data barriers,and difficulty in ensuring data quality.Based on the current situation analysis,this article constructs an evolutionary game model for the collaborative governance of telecommunications network fraud crimes between law enforcement agencies and enterprises.Through a discussion and analysis of the set parameters,driving factors that promote the selection of active or passive strategies by both parties are identified.The MATLAB software is used to simulate and verify the deduced results.The analysis suggests that when collaborating,both parties will decide on their final strategy choice by comparing their considerations for active and passive performance.Factors that constitute active performance considerations include external supervision and rewards,the law enforcement agency’s governance capability,and the enterprise’s sense of corporate responsibility.Factors that constitute passive performance considerations include costs and free-rider benefits.Finally,an optimization path is derived based on the evolution path.Focusing on improving the active performance considerations of both the police and enterprises while reducing passive cooperation considerations,an optimization path is proposed from three dimensions: promoting enterprise active performance,promoting active performance of public security agencies,and smoothing the interaction and communication channels between the two.Firstly,it is necessary to strengthen the awareness of the main responsibility of enterprises in anti-fraud and enhance the regulatory effect on their passive performance behavior,implementing a reward and compensation system for their active performance.Secondly,it is necessary to improve the antifraud capabilities of public security agencies,actively reduce the performance burden of grassroots public security agencies,and improve the performance reward and punishment mechanism.Finally,it is necessary to actively promote interaction and communication between the police and enterprises,enhance trust,improve cooperation platforms,share databases,and establish mechanisms with standard rules to break down data barriers and improve data quality.