Leveraging AI to Enhance Security in Payment Systems: A Predictive Analytics Approach
Abstract: The rise of digital payment systems, there is increased demand for security, to fend off against fraud, tampering of transaction integrity. In this paper, we assess the use of artificial intelligence (AI) and predictive analytics in strengthening security within payment systems. Our main operation here is to trace the fraudulent trend and stop it at its early instance before deployment using top notch machine learning models. The contribution of this paper is to provide such a survey with regard to the different AI methods for anomaly detection studied as well, its associated problem in adopting these approaches and how it could be potentially resolve.
Keywords: digital payment systems, security, artificial intelligence, fraud detection, machine learning models
How to Cite?: Ravindar Reddy Gopireddy, "Leveraging AI to Enhance Security in Payment Systems: A Predictive Analytics Approach", Volume 8 Issue 11, November 2019, International Journal of Science and Research (IJSR), Pages: 2032-2036, https://www.ijsr.net/getabstract.php?paperid=SR24731155937, DOI: https://dx.doi.org/10.21275/SR24731155937