Domain and Content Effectiveness Methodical Analysis Phishing Attacks and Websites Classification using Ensemble Learning

Registration ID: IJNRD_195524

Published ID: IJNRD2305691

DOI: Click Here to Get

Mridula Kannan , Narayanan S , Palagara Uday Kumar

Phishing Attack, Neural Network, Deep Learning, Support vector machine, Fuzzy Rough Set

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.

Published Paper   E-Certificate

Mridula Kannan , Narayanan S, & Palagara Uday Kumar (May-2023). Domain and Content Effectiveness Methodical Analysis Phishing Attacks and Websites Classification using Ensemble Learning. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), g746-g754. https://ijnrd.org/papers/IJNRD2305691.pdf

Volume 8 Issue 5, May-2023

Pages : g746-g754

Paper Reg. ID: IJNRD_195524

Published Paper Id: IJNRD2305691

Downloads: 000121983

Research Area: Science & Technology

Country: Chennai, Tamilnadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305691.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305691

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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