Abstract:

As a typical non-contact crime, the prevention and control of telecom network fraud emphasizes the combing and analysis of the characteristics of victims. However, most of the existing research results are carried out for the single characteristics of victims, and rely on a small number of cases, which is difficult to fully and deeply reflect the characteristics and laws, and the application is weak. This paper took the self characteristics and case characteristics of telecom network fraud victims as indicators, constructs Bayesian network and establishes victim characteristic analysis model. Then, starting from the types of cases, this paper discussed the vulnerable groups. Starting from the characteristic population, this paper expounds its gullible types.

Key words: telecom network fraud, Bayesian network, characteristics of victims, empirical analysis