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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | DETECTION OF PHISHING WEBSITES USING MACHINE LEARNING |
| Authors Name: | V.Ramana Murthy , D.Neeraja , D.Rohit SivaReddy , B.Rakesh , V.Swathika,B.Uday Kiran |
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IJNRD_216714
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| Published Paper Id: | IJNRD2403641 |
| Published In: | Volume 9 Issue 3, March-2024 |
| DOI: | |
| Abstract: | Criminals seeking sensitive information construct illegal clones of actual websites and e-mail accounts. The e-mail will be made up of real firm logos and slogans. When a user clicks on a link provided by these hackers, the hackers gain access to all of the user's private information, including bank account information, personal login passwords, and images. Random Forest and Decision Tree algorithms are heavily employed in present systems, and their accuracy has to be enhanced. The existing models have low latency. Existing systems do not have a specific user interface. In the current system, different algorithms are not compared. Consumers are led to a faked website that appears to be from the authentic company when the e-mails or the links provided are opened. The models are used to detect phishing Websites based on URL significance features, as well as to find and implement the optimal machine learning model. Logistic Regression, Multinomial Naive Bayes, and XG Boost are the machine learning methods that are compared. The Logistic Regression algorithm outperforms the other two. |
| Keywords: | Logistic Regression,Multinomial Naïve Bayes,XG Boost. |
| Cite Article: | "DETECTION OF PHISHING WEBSITES USING MACHINE LEARNING", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 3, page no.g349-g352, March-2024, Available :http://www.ijnrd.org/papers/IJNRD2403641.pdf |
| Downloads: | 00034 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 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:IJNRD2403641 Registration ID: 216714 Published In: Volume 9 Issue 3, March-2024 DOI (Digital Object Identifier): Page No: g349-g352 Country: Visakhapatnam , Andhra Pradesh, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2403641 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2403641 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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