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AI-enhanced peer to peer payment security
AIML/DevOps Automation Engineer, Independent Researcher
Review
International Journal of Science and Research Archive, 2023, 10(01), 1076–1083.
Article DOI: 10.30574/ijsra.2023.10.1.0570
Publication history:
Received on 16 August 2023; revised on 19 October 2023; accepted on 29 October 2023
Abstract:
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.
Keywords:
AI-driven payment protection; Secure peer-to-peer transactions; Machine learning in payment security; Fraud detection in digital payments; Blockchain and AI security
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Copyright information:
Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0
