Feature Selection for Phishing Website Classification

Volume 20 No 7 (2022)

Mallesh Hatti, Vanamala Shivani, A.B.Pravallika, Muthyam Vyshnavi

DOI: 10.14704/nq.2022.20.7.NQ33275

Abstract

Phishing is an attempt to obtain the confidential information about user or an organization. It is an act of impersonating a credible webpage to users to expose personal data, such as username, password and credit card information. It has cost the online community and various stakeholders hundreds of millions of dollars

Keywords

Phishing, Web threat, XGboost, Logistic Regression, LSTM, Machine learning, Deep Learning

Copyright © Neuroquantology

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Articles published in the Neuroquantology are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJECSE right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.