Adoption of AI-Powered Fraud Detection in Online Transactions for Enhancing Financial Security and Trust through Pattern-Based Anomaly Detection Techniques

International Journal of Advanced Research in Education and TechnologY(IJARETY) International, Double Blind-Peer Reviewed & Refereed Journal, Open Access Journal |Approved by NSL & NISCAIR |Impact Factor: 8.152 | ESTD: 2014|

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TITLE	Adoption of AI-Powered Fraud Detection in Online Transactions for Enhancing Financial Security and Trust through Pattern-Based Anomaly Detection Techniques
ABSTRACT	Abstract
AUTHOR	Anuj Aggarwal Cybersecurity Engineer, DFS Corporate Services LLC, Delaware, USA.
VOLUME	11
DOI	DOI:10.15680/IJARETY.2024.1105043
PDF	43_Adoption of AI-Powered Fraud Detection in Online Transactions for Enhancing Financial Security and Trust through Pattern-Based Anomaly Detection Techniques.pdf
KEYWORDS
References	Reference

TITLE

ABSTRACT

Abstract

AUTHOR

Anuj Aggarwal Cybersecurity Engineer, DFS Corporate Services LLC, Delaware, USA.

VOLUME

DOI

DOI:10.15680/IJARETY.2024.1105043

PDF

43_Adoption of AI-Powered Fraud Detection in Online Transactions for Enhancing Financial Security and Trust through Pattern-Based Anomaly Detection Techniques.pdf

KEYWORDS

References

Reference

Article

Email

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