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)
Phishing remains a unavoidable danger, abusing human helplessness to trap people into disclosing delicate data through misleading websites. To combat this, leveraging anti-phishing methods is vital, with machine learning rising as a strong apparatus. In a later approach, the Slope Boosting Classifier show has been utilized to recognize between true blue and phishing URLs based on different critical highlights. By analyzing and comparing key properties, this strategy successfully recognizes false websites in real-time, advertising a promising defense against advancing phishing strategies encouraged by progressing innovation
Keywords:
Detection of Phishing Websites Using Machine Learning
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 4, page no.a191-a201, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404025.pdf
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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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