Thông tin tài liệu


Nhan đề : 
Online payment fraud: from anomaly detection to risk management
Tác giả : 
Paolo, Vanini
Sebastiano, Rossi
Ermin, Zvizdic
Năm xuất bản : 
2023
Nhà xuất bản : 
Springer
Tóm tắt : 
Online banking fraud occurs whenever a criminal can seize accounts and transfer funds from an individual’s online bank account. Successfully preventing this requires the detection of as many fraudsters as possible, without producing too many false alarms. This is a challenge for machine learning owing to the extremely imbalanced data and complexity of fraud. In addition, classical machine learning methods must be extended, minimizing expected financial losses. Finally, fraud can only be combated systematically and economically if the risks and costs in payment channels are known.
Mô tả: 
CC BY
URI: 
https://link.springer.com/article/10.1186/s40854-023-00470-w
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7852
Bộ sưu tập
OER - Kinh tế và Quản lý
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