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IJNRD
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
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Impact Factor : 8.76

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Paper Title: Domain and Content Effectiveness Methodical Analysis Phishing Attacks and Websites Classification using Ensemble Learning
Authors Name: Mridula Kannan , Narayanan S , Palagara Uday Kumar
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IJNRD_195524
Published Paper Id: IJNRD2305691
Published In: Volume 8 Issue 5, May-2023
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Abstract: There are so many risks for inexperienced or negligent users, as well as a variety of tools and techniques used by infamous users to victimise people and access their private information, the internet or public internetwork has become a vulnerable place in modern society. resulting in sometimes smaller penalties But a large number of these victims experience severe losses as a result of falling for traps like phishing malware, tampering with data, , web jacking, Trojan attacks,cracking and salami attacks. As a result, despite online users' and software and application developers' ongoing efforts to build and keep the IT infrastructure safe and secure through the use of various techniques such as encryption, digital signatures, digital certificates, and so on. This research focuses on the topic of detecting and predicting phishing websites. On two distinct datasets, We employ URLs, fundamental new ensemble-based methods, and machine learning classifiers This investigation is done in three steps, once again using a consolidated dataset. They begin with classification using basic classifiers, Cross-validation is used both with and without evaluating ensemble classifiers. Finally, a review of their performance is conducted, and the findings are published to help other researchers use this study in future investigations.
Keywords: Phishing Attack, Neural Network, Deep Learning, Support vector machine, Fuzzy Rough Set
Cite Article: "Domain and Content Effectiveness Methodical Analysis Phishing Attacks and Websites Classification using Ensemble Learning", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.g746-g754, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305691.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
Publication Details: Published Paper ID:IJNRD2305691
Registration ID: 195524
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: g746-g754
Country: Chennai, Tamilnadu, India
Research Area: Science & Technology
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2305691
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2305691
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

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