Online Payment Fraud Detection Using Deep Quantum Neural Network

DOI

10.2991/978-94-6463-858-5_44How to use a DOI?

Keywords

first Quantum Neural Networks; Fraud Detection; Online Payment Security; Deep Learning; Preventing Financial Fraud; Machine Learning; Quantum Computing; Transaction monitoring; cybersecurity; PennyLane Framework; Twilio SMS alerts; real-time fraud detection; anomaly detection

Abstract

Online payment fraud has grown to be a serious cybersecurity risk that can result in data breaches and monetary losses. This study introduces a fraud detection system based on Deep Quantum Neural Networks (DQNNs), which use quantum computing to boost accuracy over conventional machine learning methods. To forecast fraudulent activity, the model examines transaction details including type, quantity, and balance fluctuations. In the event that fraud is discovered, registered users will get real-time notifications via an integrated Twilio SMS alert system. Streamlit is used to deploy the system, allowing for an intuitive transaction monitoring interface. Through the use of PennyLane and quantum circuits, the suggested method improves the effectiveness of fraud detection. Results from experiments show that classification accuracy is higher than that of traditional models. The potential of quantum-enhanced fraud detection in protecting financial transactions is demonstrated by this study.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Eppili Jaya
AU  - Chiranjeevulu Divvala
AU  - M. Dhana Lakshmi
AU  - Charishma Lakshmi
AU  - A. Gopi Chand
AU  - M. Vijay Dinesh
PY  - 2025
DA  - 2025/11/04
TI  - Online Payment Fraud Detection Using Deep Quantum Neural Network
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 510
EP  - 519
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_44
DO  - 10.2991/978-94-6463-858-5_44
ID  - Jaya2025
ER  -