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.
关键词
通信网络/大数据/电信诈骗/防诈模型/决策树/遗传算法
Key words
Communication networks/Big data/Telecommunications fraud/Anti fraud models/Decision trees/Genetic algorithms
维普
万方数据