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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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Issue: June 2026
Volume 11 | Issue 6
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 121
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| Paper Title: | A Review on Intelligent Fraud Detection Systems Using Machine Learning |
| Authors Name: | Jaskarandeep . Kaur , Janu Mahajan |
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IJRTI_212278
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| Published Paper Id: | IJRTI2605072 |
| Published In: | Volume 11 Issue 5, May-2026 |
| DOI: | |
| Abstract: | Abstract Fraud has become a growing concern in digital financial systems due to the rapid expansion of online transactions and digital services. Traditional rule-based systems often fail to detect sophisticated and evolving fraudulent activities. This review paper explores how machine learning techniques are transforming fraud detection by enabling systems to learn patterns, adapt to new threats, and improve accuracy over time. It provides an overview of commonly used algorithms such as decision trees, logistic regression, support vector machines, and deep learning models. The paper also discusses data challenges, including class imbalance and data privacy, along with evaluation metrics used to measure model performance. Furthermore, recent advancements such as real-time fraud detection, cloud-based deployment, and explainable AI are highlighted. The study concludes that machine learning offers a powerful and scalable solution for detecting fraud, although challenges remain in terms of interpretability and evolving attack strategies. |
| Keywords: | Fraud Detection, Machine Learning, Supervised Learning, Unsupervised Learning, Deep Learning. |
| Cite Article: | "A Review on Intelligent Fraud Detection Systems Using Machine Learning ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 5, page no.a590-a594, May-2026, Available :http://www.ijrti.org/papers/IJRTI2605072.pdf |
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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: IJRTI2605072
Registration ID:212278
Published In: Volume 11 Issue 5, May-2026
DOI (Digital Object Identifier):
Page No: a590-a594 Country: Amritsar, Punjab, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2605072 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2605072 |
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ISSN: 2456-3315
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