AI - Powered Financial Fraud Detection and Prevention Framework

A financial fraud detection system which relies on AI technologies makes use of advanced machine learning and artificial intelligence techniques to detect and avoid fraudulent activity in financial transactions. The system is designed to be very effective in the analysis of large data with a minimal potential of false positive ensuring that genuine transactions are not wrongly categorized as fraud. New data is integrated into the system automatically without any thrashing improving algorithms as time passes. Also adversarial learning techniques are included to subdue changes in fraud model, which would allow the system to be able to fore see and counter any potentially threatening adversaries learning the counter fraud strategies that evolve along with time. This system is capable of operating either independently or being incorporated within the existing finance system and there is no requirement of manual effort or real time training of employees to prevent or control fraud.

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Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1109/icpids65698.2024.00023
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
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AI - Powered Financial Fraud Detection and Prevention Framework

Harendra Kumar, Smriti Kumari, Kulvinder Singh, S. Sagar et al.
Impact of AI and Big Data on Business and Society
article

AI - Powered Financial Fraud Detection and Prevention Framework

Harendra Kumar, Smriti Kumari, Kulvinder Singh, S. Sagar, Shivam Shivam, Vaishnavi Survawanshi
article en

Abstract

A financial fraud detection system which relies on AI technologies makes use of advanced machine learning and artificial intelligence techniques to detect and avoid fraudulent activity in financial transactions. The system is designed to be very effective in the analysis of large data with a minimal potential of false positive ensuring that genuine transactions are not wrongly categorized as fraud. New data is integrated into the system automatically without any thrashing improving algorithms as time passes. Also adversarial learning techniques are included to subdue changes in fraud model, which would allow the system to be able to fore see and counter any potentially threatening adversaries learning the counter fraud strategies that evolve along with time. This system is capable of operating either independently or being incorporated within the existing finance system and there is no requirement of manual effort or real time training of employees to prevent or control fraud.

Chandigarh University (IN)
Peace, Justice and strong institutions
Openalex Percentile: Top 65%
Impact of AI and Big Data on Business and Society
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