Enhancing Credit Card Fraud Detection: Privacy-Preserving Association Rule Mining with Secure Multi-Party Computation

Eirene Barua; Mala Dutta

doi:10.54287/gujsa.1804062

Enhancing Credit Card Fraud Detection: Privacy-Preserving Association Rule Mining with Secure Multi-Party Computation

Abstract

The proposed research presents a novel method of enhancing credit-card fraud detection using Secure Multi-Party Computation (SMPC), a privacy-saving method. At present data privacy is of utmost concern and the proposed methodology can eliminate the problem of carrying out fruitful fraud detection without putting privacy of user data in danger. Using SMPC, several entities are able to work with transaction data in a collaborative fashion without revealing any of the individual data, establishing privacy compliance. The study aims at a privacy-preserving framework for identifying fraud in credit card payments by linking SMPC and the FP-Growth algorithm. The usage of SMPC means that cooperative calculations may be done without revealing sensitive data, avoiding the possibility of data leakage. As a powerful Association Rule Mining (ARM) approach, FP-Growth protects the secrecy of individual transactions while effectively detecting hidden patterns and correlations inside transaction datasets. The framework is tested using extensive performance metrics including as accuracy, precision, recall, and F1-score, which serve as a robust standard for determining its dependability. The results show that the suggested technique is highly effective in identifying fraudulent actions while ensuring tight privacy protection.

Keywords

References

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Details

Primary Language

English

Subjects

Data Mining and Knowledge Discovery

Journal Section

Research Article

Authors

Eirene Barua
0009-0001-7530-3570
India

Mala Dutta ^*
0000-0001-9560-0751
India

Publication Date

March 31, 2026

Submission Date

October 16, 2025

Acceptance Date

March 16, 2026

Published in Issue

Year 2026 Volume: 13 Number: 1

DOI

https://doi.org/10.54287/gujsa.1804062

IZ

https://izlik.org/JA49BF99LX

Cite

RIS / Bibtex

APA

Barua, E., & Dutta, M. (2026). Enhancing Credit Card Fraud Detection: Privacy-Preserving Association Rule Mining with Secure Multi-Party Computation. Gazi University Journal of Science Part A: Engineering and Innovation, 13(1), 117-134. https://doi.org/10.54287/gujsa.1804062

AMA

1.Barua E, Dutta M. Enhancing Credit Card Fraud Detection: Privacy-Preserving Association Rule Mining with Secure Multi-Party Computation. GU J Sci, Part A. 2026;13(1):117-134. doi:10.54287/gujsa.1804062

Chicago

Barua, Eirene, and Mala Dutta. 2026. “Enhancing Credit Card Fraud Detection: Privacy-Preserving Association Rule Mining With Secure Multi-Party Computation”. Gazi University Journal of Science Part A: Engineering and Innovation 13 (1): 117-34. https://doi.org/10.54287/gujsa.1804062.

EndNote

Barua E, Dutta M (March 1, 2026) Enhancing Credit Card Fraud Detection: Privacy-Preserving Association Rule Mining with Secure Multi-Party Computation. Gazi University Journal of Science Part A: Engineering and Innovation 13 1 117–134.

IEEE

[1]E. Barua and M. Dutta, “Enhancing Credit Card Fraud Detection: Privacy-Preserving Association Rule Mining with Secure Multi-Party Computation”, GU J Sci, Part A, vol. 13, no. 1, pp. 117–134, Mar. 2026, doi: 10.54287/gujsa.1804062.

ISNAD

Barua, Eirene - Dutta, Mala. “Enhancing Credit Card Fraud Detection: Privacy-Preserving Association Rule Mining With Secure Multi-Party Computation”. Gazi University Journal of Science Part A: Engineering and Innovation 13/1 (March 1, 2026): 117-134. https://doi.org/10.54287/gujsa.1804062.

JAMA

1.Barua E, Dutta M. Enhancing Credit Card Fraud Detection: Privacy-Preserving Association Rule Mining with Secure Multi-Party Computation. GU J Sci, Part A. 2026;13:117–134.

MLA

Barua, Eirene, and Mala Dutta. “Enhancing Credit Card Fraud Detection: Privacy-Preserving Association Rule Mining With Secure Multi-Party Computation”. Gazi University Journal of Science Part A: Engineering and Innovation, vol. 13, no. 1, Mar. 2026, pp. 117-34, doi:10.54287/gujsa.1804062.

Vancouver

1.Eirene Barua, Mala Dutta. Enhancing Credit Card Fraud Detection: Privacy-Preserving Association Rule Mining with Secure Multi-Party Computation. GU J Sci, Part A. 2026 Mar. 1;13(1):117-34. doi:10.54287/gujsa.1804062