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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: March 2026
Volume 11 | Issue 3
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21574
Article Published : 8528
Total Authors : 22430
Total Reviewer : 805
Total Countries : 159
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| Paper Title: | SMS Fraud Detection Using Machine Learning |
| Authors Name: | Pawar Gopal , Sanket Nitinkumar Patil , Ankita Verma |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_207859
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| Published Paper Id: | IJRTI2511137 |
| Published In: | Volume 10 Issue 11, November-2025 |
| DOI: | |
| Abstract: | Abstract: Mobile communication has expanded rapidly, making Short Message Service (SMS) a primary tool for information exchange for both individuals and businesses. However, this convenience has a downside: it has opened the door for cybercriminals to launch "smishing" attacks—fraudulent messages designed to trick users into revealing sensitive personal or financial data. Traditional security filters, which rely on rigid rules, often fail to catch these threats as scammers constantly evolve their tactics. To solve this, our research develops an adaptive system using Machine Learning (ML) to automatically detect suspicious SMS content. We employ Natural Language Processing (NLP) to analyze text patterns and convert them into numerical data using techniques like TF-IDF. These features are then processed by supervised learning algorithms to classify messages as either legitimate or fraudulent. The result is a system optimized for high accuracy, speed, and real-time performance, making digital communication safer. |
| Keywords: | Keywords: SMS Fraud, Natural Language Processing, Classification, Feature Extraction, Detection, Machine Learning, NLP, Text Classification, TF-IDF, Spam Filtering, Cybersecurity. |
| Cite Article: | "SMS Fraud Detection Using Machine Learning", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 11, page no.b297-b302, November-2025, Available :http://www.ijrti.org/papers/IJRTI2511137.pdf |
| Downloads: | 000237 |
| 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: IJRTI2511137
Registration ID:207859
Published In: Volume 10 Issue 11, November-2025
DOI (Digital Object Identifier):
Page No: b297-b302 Country: Vadodara, Gujarat, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2511137 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2511137 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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