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 is a fraudulent technique used to extract sensitive data and user credentials by impersonating legitimate websites. Cybercriminals often create duplicate websites with malicious code to steal personal information from unsuspecting users. Such attacks can cause significant financial damage to individuals and businesses using banking and financial services. Traditionally, blacklists of known phishing links or heuristic analysis of suspicious web pages have been used to detect phishing attacks. However, heuristic functions rely on trial and error, resulting in poor accuracy and low adaptability to new phishing links. The primary objective of the project is to develop a machine learning-based solution to identify and block phishing and malicious web links. The aim is to build an advanced software product that employs machine learning algorithms to recognize and flag potentially harmful URLs. This approach will involve leveraging machine learning to overcome these limitations by implementing various classification algorithms and evaluating their performance on our dataset.
"PhisherDock", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.d234-d240, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305333.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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