Analysis of the Current Situation and Characteristics of College Student “Online Fraud Cases”

2. The Relevant Research

Because of the rapid development of the Internet era, the traditional types of crimes have gradually changed into new types of network crimes, leading to the frequent cases of online fraud in recent years. Marianne Junger analyses 300 cases of fraudulent activities against Dutch businesses, the research shows that although whilst all CEO-frauds are conducted online, most of the fraudulent contracts and ghost invoices are undertaken via offline means (Marianne,2020). Study Results from Georgia Southern University Broaden Understanding of Security Management, the research introduces the Policing fraud in England and Wales by examining constables’ and sergeants’ online fraud preparedness (Bossler,2020). Chun Yan improved adaptive genetic algorithm (NAGA) combined with a BP neural network (BP neural network) for forecasting insurance fraud identification, the empirical results show that the improved genetic algorithm is more advanced than the traditional genetic algorithm in terms of convergence speed and prediction accuracy(Yan,2020). Jan Mei Soon applied Bayesian network to predict food fraud products originating from China, and the model predicted 85% of the fraud correctly(Soon,2020). Rongjia Song analyse the fraud detection of bulk cargo theft in port using Bayesian network models(Song,2020).