With the continuous development of Internet technology

internet fraud has continued to occur frequently

which has attracted great attention from all walks of life. On the other hand

with the development of 5 G technology

the number of connected devices has increased sharply

resulting in richer data sources and an exponential increase in the amount of data generated. At the same time

the complexity of data processing for identifying and preventing fraud has also been significantly increased. Therefore

for operators

traditional anti-fraud technology will no longer be applicable

and new technical means must be required. Based on the above problems

this thesis proposes an internet fraud management system

which can form a new type of internet fraud detection model

conduct in-depth analysis of social software fraud characteristics

focus on local suspected internet fraud dens

and cooperate with business departments to carry out capacity output work and provide early warning.