|
Article Details :: |
|
|
| Article Name : | | | EFFECTIVENESS AND CHALLENGES OF AI-POWERED FRAUD DETECTION IN INDIAN DIGITAL PAYMENT ECOSYSTEMS: A COMPREHENSIVE LITERATURE REVIEW | | Author Name : | | | Ms. Rashmi Aggarwal and Ms. Kanika Yadav | | Publisher : | | | Ashok Yakkaldevi | | Article Series No. : | | | ROR-16405 | | Article : | |  | Author Profile | | Abstract : | | | The rapid expansion of digital payments in India, fueled by digital banking, mobile wallets, and the Unified Payments Interface (UPI), has increased financial inclusion but also made systems more vulnerable to sophisticated forms of fraud. The literature on artificial intelligence (AI)-based fraud detection techniques in India is reviewed in this article. The review evaluates machine learning algorithms, deep learning models, and hybrid frameworks in fraud detection using existing peer-reviewed literature, industry reports, and case studies. | | Keywords : | | - Artificial Intelligence,Fraud Detection,Digital Payments,India,UPI,Machine Learning,Cybersecurity,Fintech,
|
|
|
|