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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
Issue per Year : 12
Volume Published : 11
Issue Published : 117
Article Submitted : 21307
Article Published : 8476
Total Authors : 22301
Total Reviewer : 802
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| Paper Title: | Phishing URL Detection Using Machine Learning |
| Authors Name: | Dr. Yamuna Devi N , Ashwitha C , Haridharani S P |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_206016
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| Published Paper Id: | IJRTI2509050 |
| Published In: | Volume 10 Issue 9, September-2025 |
| DOI: | https://doi.org/10.56975/ijrti.v10i9.206016 |
| Abstract: | Phishing is a cyber attack where users are misled into visiting fake websites that steal sensitive information. This study uses a machine learning based approach to detect phishing URLs through Logistic Regression and Linear Discriminant Analysis. A balanced dataset of 10,000 URLs (5,000 phishing and 5,000 legitimate) is used for training and testing. Principal Component Analysis (PCA) and Factor Analysis (FA) were applied for feature selection and both methods consistently identified thirteen key URL features. These features, along with K-Means clustering for risk grouping, helped achieve up to 88.3% accuracy using Logistic Regression. The method is efficient, scalable, and suitable for real time phishing detection. |
| Keywords: | Machine Learning, Predictive Analytics, Classification Models, Phishing Detection, Logistic Regression, Linear Discriminant Analysis, K-means Clustering, Supervised Learning, Cyber Security, URL analysis, Fake websites, URL based classification, Threat Intelligence. |
| Cite Article: | "Phishing URL Detection Using Machine Learning", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 9, page no.a434-a440, September-2025, Available :http://www.ijrti.org/papers/IJRTI2509050.pdf |
| Downloads: | 0001870 |
| 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: IJRTI2509050
Registration ID:206016
Published In: Volume 10 Issue 9, September-2025
DOI (Digital Object Identifier): https://doi.org/10.56975/ijrti.v10i9.206016
Page No: a434-a440 Country: Coimbatore, TamilNadu, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2509050 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2509050 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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