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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
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| Paper Title: | Credit Card Fraud Detection Using Multi-Layer Perceptron Based On Federated Learning |
| Authors Name: | A Subhalaxmi , V Kishore Kumar , V Leela Prasad , G A V Sai Deekshitha , S Likhith Sai Varma |
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IJRTI_187282
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| Published Paper Id: | IJRTI2306087 |
| Published In: | Volume 8 Issue 6, June-2023 |
| DOI: | |
| Abstract: | Frauds in credit card transactions are common today as most of us are using the credit card payment methods more frequently. Credit card fraud is happening in all organization such as appliances industry, automobile industry, banks and so on. Many of the process like data mining, machine learning algorithmic approaches are applied to identify the fraud in the credit card transactions but did not get considerable result. Hence, there is a need of effective and efficient algorithms to be developed that works significantly. The credit card fraud detection takes place as the user or the customer enters the necessary credentials in order to make any transaction using credit card and the transaction should get approved only upon being checked for any fraud activity. In existing system different ML models were developed in a way that set of entire data located at the central server, which makes it the least preferred option for domains with privacy concerns on user data. To address this issue, we propose Federated Learning based Credit Card Fraud Detection using MLP (Multi-Layer Perceptron) Algorithm in Artificial Neural Networks. Our approach makes the federated training rounds on the models and keeps the data at user side and shares the learned weights with the central server of FL the privacy of user data and provides an optimal accuracy rate in detection. |
| Keywords: | Credit Card Fraud Detection, Artificial Neural Network, Federated Learning, Multi-Layer Perceptron. |
| Cite Article: | "Credit Card Fraud Detection Using Multi-Layer Perceptron Based On Federated Learning", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 6, page no.552 - 558, June-2023, Available :http://www.ijrti.org/papers/IJRTI2306087.pdf |
| Downloads: | 000205184 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2306087
Registration ID:187282
Published In: Volume 8 Issue 6, June-2023
DOI (Digital Object Identifier):
Page No: 552 - 558 Country: Vizianagaram, ANDHRA PRADESH, INDIA Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2306087 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2306087 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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