A Big Data-Based Anti-Fraud Model for Internet Finance

Abstract

Fraud has become a serious risk to the burgeoning industry of Internet finance. To predict and prevent the fraud, this paper develops a risk control model that accurately predicts the fraud behaviors of online loan borrowers, based on their social network data and consumption information. Firstly, statistical analysis was carried out to clarify the relationship between user behavior and fraud, and that between social network and fraud. Next, suitable variables were selected through big data analysis, and used to build the risk control model, in combination with random forest (RF) algorithm and modern financial theory. The effectiveness of the proposed model was confirmed through contrastive experiments. Our model provides peer-to-peer (P2P) online loan platforms with an effective tool to prevent fraud.

Credit Risk Assessment of e-Commerce Supply Chain Finance of SMEs Based on Dynamic Reward and Punishment Perspective

“…ere should be a reasonable and comprehensive index system and appropriate methods for credit evaluation. Previous scholars mainly conducted the following studies in terms of the index system building and credit evaluation methods selecting: In terms of index system building, some scholars built is suitable for the supply chain under the background of the financing of small microenterprise credit evaluation index system [2][3][4][5][6][7][8]. Different from the traditional credit rating, the establishment of a credit risk evaluation system from different perspectives in the supply chain financial environment provides new ideas for the credit rating of SMEs [9].…”

Construction and Application of the Online Finance Credit Risk Rating Model Based on the Artificial Neural Network

“…Online finance is a low-cost, highly efficient means to provide services and attract consumers based on internet platforms, making the financial system in China much more inclusive. Online finance can operate in various modes, including online money management, online payment, and online consumer finance [1][2][3][4][5]. Among them, online finance credit provides underfunded individuals and small and medium enterprises (SMEs) with an indispensable credit channel [6][7][8][9].…”