Design and research of big data fraud prevention model based on communication networks
In recent years,the situation of telecommunications network fraud has been very severe,becoming the type of crime with the most cases,the fastest increase,the widest coverage,and the strongest public feedback.This article is based on telecommuni-cations networks.Through big data mining and analysis of fraud numbers reported by the Ministry of Public Security and Industry and Information Technology,similar features are extracted.Machine learning,big data,neural networks,genetic algorithms,and other meth-ods are used to develop big data fraud prevention models.From data collection,intermediate processing,model generation,user match-ing,and user shutdown,the numbers of suspected fraudsters are promptly shut down to avoid more people suffering losses from fraud.
Communication networksBig dataTelecommunications fraudAnti fraud modelsDecision treesGenetic algorithms
万方数据
维普
