A Framework for Analyzing Fraud Risk Warning and Interference Effects by Fusing Multivariate Heterogeneous Data: A Bayesian Belief Network

Abstract

In the construction of a telecom-fraud risk warning and intervention-effect prediction model, how to apply multivariate heterogeneous data to the front-end prevention and management of telecommunication network fraud has become one of the focuses of this research. The Bayesian network-based fraud risk warning and intervention model was designed by taking into account existing data accumulation, the related literature, and expert knowledge. The initial structure of the model was improved by utilizing City S as an application example, and a telecom-fraud analysis and warning framework was proposed by incorporating telecom-fraud mapping. After the evaluation in this paper, the model shows that age has a maximum sensitivity of 13.5% to telecom-fraud losses; anti-fraud propaganda can reduce the probability of losses above 300,000 yuan by 2%; and the overall telecom-fraud losses show that more occur in the summer and less occur in the autumn, and that the Double 11 period and other special time points are prominent. The model in this paper has good application value in the real-world field, and the analysis of the early warning framework can provide decision support for the police and the community to identify the groups, locations, and spatial and temporal environments prone to fraud, to combat propaganda and provide a timely warning to stop losses.

Research on telecom network fraud crime offenses and the optimization path of basic information gathering based on grounded theory

“…Among policy developments, in 2015, the Chinese Ministry of Industry and Information Technology proposed the "Management of Communication Short Message Service" document to strengthen governance of SMS, while implementing a real-name system for cell phones to address anonymous communication in the traditional communication industry. The Anti-Telecom network fraud Law, introduced in 2022, formally incorporated the telecom-fraud industry chain into criminal crackdown governance, marking a milestone 9 . Based on the telecommunications fraud crime model constructed in this paper, the implementation of telecommunications network fraud involves the criminal subject, criminal motives, and the act of committing the crime.…”