articleIEEE AccessJan 1, 2023GOLD OA

Phishing Detection System Through Hybrid Machine Learning Based on URL

Universitas Gadjah Mada · Islamia University of Bahawalpur · +1 more institution

Indexed incrossrefdoaj

Abstract

Currently, numerous types of cybercrime are organized through the internet. Hence, this study mainly focuses on phishing attacks. Although phishing was first used in 1996, it has become the most severe and dangerous cybercrime on the internet. Phishing utilizes email distortion as its underlying mechanism for tricky correspondences, followed by mock sites, to obtain the required data from people in question. Different studies have presented their work on the precaution, identification, and knowledge of phishing attacks; however, there is currently no complete and proper solution for frustrating them. Therefore, machine learning plays a vital role in defending against cybercrimes involving phishing attacks. The…

Citation impact

217
total citations
FWCI
94.99
Percentile
100%
References
75
Citations per year

Authors

5

Topics & keywords

Keywords
  • Phishing
  • Computer science
  • Machine learning
  • Support vector machine
  • Random forest
  • Naive Bayes classifier
  • Artificial intelligence
  • Decision tree
UN Sustainable Development Goals
  • Peace, Justice and strong institutions
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