Author Login IJIRT Partner Network (IPN) Login

An Analytical Approach to UPI Fraud Detection Using Machine Learning and Deep Learning Techniques

  • Unique Paper ID: 168355
  • Volume: 11
  • Issue: 5
  • PageNo: 1228-1232
  • Abstract:
  • The fast development of Bound together Installments Interface (UPI) exchanges has driven to an increment in false exercises, posturing noteworthy dangers to clients and budgetary educate. This venture presents a machine learning-based approach for recognizing false UPI exchanges. We assess and compare the execution of different calculations, counting Calculated Relapse, K-Nearest Neighbors (KNN), Back Vector Machine (SVM), Gullible Bayes, Choice Tree, Irregular Timberland, and a Convolutional Neural Organize (CNN). The dataset utilized for preparing incorporates numerous highlights related to UPI exchanges, with information preprocessing strategies such as scaling connected to guarantee demonstrate productivity. The models were prepared and tried on the dataset, and their exactness scores were compared to distinguish the most compelling calculation for extortion discovery.
Download article email to a friend

Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 5
  • PageNo: 1228-1232

An Analytical Approach to UPI Fraud Detection Using Machine Learning and Deep Learning Techniques

Related Articles

Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now

Latest Publication

Archive

View More

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry