Integrating Big Data Analytics and Behavioral Biometrics for Advanced Fraud Detection

Ahmed Abbas; Tareq Abed Mohammed; Zena Ez Dallalbash; Adil Khalil

doi:10.35377/saucis...1729803

Integrating Big Data Analytics and Behavioral Biometrics for Advanced Fraud Detection

Abstract

This paper discusses the ways in which big data analytics and behavioral biometrics can prevent or detect digital fraud. We used Random Forests and Neural Networks as our machine learning models to learn the dynamics of users' keystroke, mouse movement, and touch interaction patterns to identify fraud. It enhanced the relevancy and utility of the data and made the database algorithms and queries easier to manage over half a terabyte of online source raw data by applying data pre-processing and normalization to reduce noise, standardize data format, and make the data more relevant. This paper reveals that a behavioral observation system and a concept of big data that can be followed in real-time greatly enhance the fraud detection methodology and system flexibility. Another contribution of the paper is that such continuous user authentication will reduce the level of intrusiveness and improve security. Related literature indicates that our technology is comparable to practices in other fields and provides a versatile way of fighting new and advanced fraud. The idea of increased collaboration between industries and improvements in AI algorithms to detect fraud replaced the potential data privacy, compliance and computational power limitations. The study validates the notion that additional actionable plans are needed to combat next generation fraud and improve online security.

Keywords

References

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Details

Primary Language

English

Subjects

Computer Software

Journal Section

Research Article

Authors

Ahmed Abbas ^*
0000-0001-9514-6763
Iraq

Tareq Abed Mohammed
0000-0002-7320-0340
Iraq

Zena Ez Dallalbash
0000-0001-7213-6175
Iraq

Adil Khalil
0000-0003-3379-0603
Iraq

Early Pub Date

March 15, 2026

Publication Date

March 15, 2026

Submission Date

June 30, 2025

Acceptance Date

September 29, 2025

Published in Issue

Year 2026 Volume: 9 Number: 1

DOI

https://doi.org/10.35377/saucis...1729803

IZ

https://izlik.org/JA55RG93DW

Cite

RIS / Bibtex

APA

Abbas, A., Abed Mohammed, T., Dallalbash, Z. E., & Khalil, A. (2026). Integrating Big Data Analytics and Behavioral Biometrics for Advanced Fraud Detection. Sakarya University Journal of Computer and Information Sciences, 9(1), 8-20. https://doi.org/10.35377/saucis...1729803

AMA

1.Abbas A, Abed Mohammed T, Dallalbash ZE, Khalil A. Integrating Big Data Analytics and Behavioral Biometrics for Advanced Fraud Detection. SAUCIS. 2026;9(1):8-20. doi:10.35377/saucis.1729803

Chicago

Abbas, Ahmed, Tareq Abed Mohammed, Zena Ez Dallalbash, and Adil Khalil. 2026. “Integrating Big Data Analytics and Behavioral Biometrics for Advanced Fraud Detection”. Sakarya University Journal of Computer and Information Sciences 9 (1): 8-20. https://doi.org/10.35377/saucis. 1729803.

EndNote

Abbas A, Abed Mohammed T, Dallalbash ZE, Khalil A (March 1, 2026) Integrating Big Data Analytics and Behavioral Biometrics for Advanced Fraud Detection. Sakarya University Journal of Computer and Information Sciences 9 1 8–20.

IEEE

[1]A. Abbas, T. Abed Mohammed, Z. E. Dallalbash, and A. Khalil, “Integrating Big Data Analytics and Behavioral Biometrics for Advanced Fraud Detection”, SAUCIS, vol. 9, no. 1, pp. 8–20, Mar. 2026, doi: 10.35377/saucis...1729803.

ISNAD

Abbas, Ahmed - Abed Mohammed, Tareq - Dallalbash, Zena Ez - Khalil, Adil. “Integrating Big Data Analytics and Behavioral Biometrics for Advanced Fraud Detection”. Sakarya University Journal of Computer and Information Sciences 9/1 (March 1, 2026): 8-20. https://doi.org/10.35377/saucis. 1729803.

JAMA

1.Abbas A, Abed Mohammed T, Dallalbash ZE, Khalil A. Integrating Big Data Analytics and Behavioral Biometrics for Advanced Fraud Detection. SAUCIS. 2026;9:8–20.

MLA

Abbas, Ahmed, et al. “Integrating Big Data Analytics and Behavioral Biometrics for Advanced Fraud Detection”. Sakarya University Journal of Computer and Information Sciences, vol. 9, no. 1, Mar. 2026, pp. 8-20, doi:10.35377/saucis. 1729803.

Vancouver

1.Ahmed Abbas, Tareq Abed Mohammed, Zena Ez Dallalbash, Adil Khalil. Integrating Big Data Analytics and Behavioral Biometrics for Advanced Fraud Detection. SAUCIS. 2026 Mar. 1;9(1):8-20. doi:10.35377/saucis. 1729803