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Online payment fraud: from anomaly detection to risk management

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Bibliographic Details
Main Authors: Paolo, Vanini, Sebastiano, Rossi, Ermin, Zvizdic
Format: Book
Language:English
Published: Springer 2023
Subjects:
Online banking fraud
individual’s online bank account
Online Access:https://link.springer.com/article/10.1186/s40854-023-00470-w
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7852
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spelling oai:localhost:PNK-78522023-04-12T09:29:11Z Online payment fraud: from anomaly detection to risk management Paolo, Vanini Sebastiano, Rossi Ermin, Zvizdic Online banking fraud individual’s online bank account CC BY 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. 2023-04-12T09:29:11Z 2023-04-12T09:29:11Z 2023 Book https://link.springer.com/article/10.1186/s40854-023-00470-w https://dlib.phenikaa-uni.edu.vn/handle/PNK/7852 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic Online banking fraud
individual’s online bank account
spellingShingle Online banking fraud
individual’s online bank account
Paolo, Vanini
Sebastiano, Rossi
Ermin, Zvizdic
Online payment fraud: from anomaly detection to risk management
description CC BY
format Book
author Paolo, Vanini
Sebastiano, Rossi
Ermin, Zvizdic
author_facet Paolo, Vanini
Sebastiano, Rossi
Ermin, Zvizdic
author_sort Paolo, Vanini
title Online payment fraud: from anomaly detection to risk management
title_short Online payment fraud: from anomaly detection to risk management
title_full Online payment fraud: from anomaly detection to risk management
title_fullStr Online payment fraud: from anomaly detection to risk management
title_full_unstemmed Online payment fraud: from anomaly detection to risk management
title_sort online payment fraud: from anomaly detection to risk management
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1186/s40854-023-00470-w
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7852
_version_ 1762999681285095424
score 8.887836

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