A Multi perspective Fraud Detection Method for Multi-Participant E-commerce Transactions

The primary objective of this project is to develop an advanced fraud detection framework specifically tailored for multiparticipant e-commerce transactions, with a focus on integrating user behavior analysis, anomaly detection techniques, and ensemble classification to enhance the accuracy and efficiency of fraud detection, ultimately fostering a secure and trustworthy online transaction environment.