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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
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: | Federated Machine Learning for Fraud Detection in IoT-Based Credit Card Systems |
| Authors Name: | santosh s kalshetty , N.s.kulkarni |
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IJRTI_204822
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| Published Paper Id: | IJRTI2506110 |
| Published In: | Volume 10 Issue 6, June-2025 |
| DOI: | |
| Abstract: | With the proliferation of Internet of Things (IoT)-based payment systems, credit card fraud has become more sophisticated and widespread. Traditional centralized fraud detection methods often fall short due to latency, data privacy concerns, and scalability limitations. This paper proposes a novel Federated Machine Learning (FML) approach for real-time credit card fraud detection within IoT ecosystems. By leveraging federated learning, data remains on edge devices (e.g., PoS terminals, mobile devices), ensuring privacy while enabling collaborative model training. The proposed framework integrates anomaly detection, ensemble learning, and cloud-edge orchestration. Experimental results on real-world datasets demonstrate superior accuracy, recall, and privacy compared to traditional methods. |
| Keywords: | Keywords: Credit card fraud, Machine learning, Fraud detection, Ensemble learning, Big data processing, Anomaly detection, IoT |
| Cite Article: | "Federated Machine Learning for Fraud Detection in IoT-Based Credit Card Systems", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 6, page no.b60-b62, June-2025, Available :http://www.ijrti.org/papers/IJRTI2506110.pdf |
| Downloads: | 000381 |
| 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: IJRTI2506110
Registration ID:204822
Published In: Volume 10 Issue 6, June-2025
DOI (Digital Object Identifier):
Page No: b60-b62 Country: pune, maharashtra, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2506110 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2506110 |
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ISSN: 2456-3315
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