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ISSN Approved Journal || eISSN: 2582-8185 || CODEN: IJSRO2 || Impact Factor 8.2 || Google Scholar and CrossRef Indexed

Peer Reviewed and Referred Journal || Free Certificate of Publication

Research and review articles are invited for publication in March 2026 (Volume 18, Issue 3) Submit manuscript

AI-enhanced peer to peer payment security

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Venkata Mohit Tamanampudi *

AIML/DevOps Automation Engineer, Independent Researcher

Review Article
 
International Journal of Science and Research Archive, 2023, 10(01), 1076–1083.
Article DOI: 10.30574/ijsra.2023.10.1.0570
DOI url: https://doi.org/10.30574/ijsra.2023.10.1.0570

Received on 16 August 2023; revised on 19 October 2023; accepted on 29 October 2023

The use of peer-to-peer payment methods has enhanced the use of payments through technologies that allow users to transfer money directly. However, this innovation has also come with some risks, especially in the security of financial information, requiring high protection levels. This paper aims to discuss using artificial intelligence to improve the security of P2P payment platforms. AI has a robust protection mechanism against crime in transactions through machine learning algorithms in fraud detection, biometrics authentication, and risk assessment. Besides, it looks at future developments such as new trends in AI, potential changes in laws that govern the use of the technology, and the integration of blockchain for enhancing the security infrastructure. Finally, the paper also points out the significance of AI regarding P2P payment security and its importance in increasing user trust and maintaining the credibility of P2P payment systems.

AI-driven payment protection; Secure peer-to-peer transactions; Machine learning in payment security; Fraud detection in digital payments; Blockchain and AI security

https://ijsra.net/sites/default/files/fulltext_pdf/IJSRA-2023-0570.pdf

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Venkata Mohit Tamanampudi. AI-enhanced peer to peer payment security. International Journal of Science and Research Archive, 2023, 10(01), 1076–1083. Article DOI: Article DOI: https://doi.org/10.30574/ijsra.2023.10.1.0570

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


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