Financial Fraud Detection in Transactions Using AI

Mani, Ashok Kumar S., Dhaneswara V., Dinesh R.

2025

Abstract

Fraud detection in financial transactions is a critical challenge faced by financial institutions, merchants, and consumers alike. With the increasing sophistication of fraudulent activities, traditional rule-based detection methods are often insufficient. This problem statement aims to address the need for robust and scalable fraud detection systems that leverage advanced technologies such as machine learning. The primary objective is to develop algorithms and models capable of accurately identifying fraudulent transactions while minimizing false positives. This requires the analysis of large volumes of transaction data to detect suspicious patterns or anomalies. Focus on applying Machine learning algorithm techniques to detect fraudulent transactions. These methods include decision trees, random forests, support vector machines. Researchers often explore the effectiveness of these techniques in classifying fraudulent and legitimate transactions based on features.

Paper Citation

in Harvard Style

Mani., S. A., V. D. and R. D. (2025). Financial Fraud Detection in Transactions Using AI. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 515-521. DOI: 10.5220/0013868500004919

in Bibtex Style

@conference{icrdicct`2525,
author={Mani and Ashok S. and Dhaneswara V. and Dinesh R.},
title={Financial Fraud Detection in Transactions Using AI},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25},
year={2025},
pages={515-521},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013868500004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25
TI - Financial Fraud Detection in Transactions Using AI
SN - 978-989-758-777-1
AU - Mani.
AU - S. A.
AU - V. D.
AU - R. D.
PY - 2025
SP - 515
EP - 521
DO - 10.5220/0013868500004919
PB - SciTePress