A cross-border community for researchers with openness, equality and inclusion

ABSTRACT LIBRARY

Malicious URL Detection by using Ensemble Learning

Publisher: USS

Authors: Pachauri Shivangi, Chandigarh UniversityDhariwal Neha, Chandigarh University Marken Gagandeep, Chandigarh University

Open Access

  • Favorite
  • Share:

Abstract:

The most fundamental requirement these days is the internet. Additionally, we must loop through a number of URLs in order to retrieve any type of infor- mation (Uniform Resource Locators). So this paper about to check whether this URL is real or fake by using Ensemble Learning. 

Keywords: Cyberattacks, Machine Learning, Supervised Learning, Ensemble Learning, Malicious URL

Published in: IEEE Transactions on Antennas and Propagation( Volume: 71, Issue: 4, April 2023)

Page(s): 2908 - 2921

Date of Publication: 2908 - 2921

DOI: 10.1109/TAP.2023.3240032

Publisher: UNITED SOCIETIES OF SCIENCE