articleElectronicsJan 3, 2023GOLD OA

A Deep Learning-Based Phishing Detection System Using CNN, LSTM, and LSTM-CNN

ZAZainab AlshingitiRARabeah AlaqelJAJalal Al‐MuhtadiQEQazi Emad Ul HaqKSKashif Saleem

King Saud University · Naif Arab University for Security Sciences

Indexed incrossref

Abstract

In terms of the Internet and communication, security is the fundamental challenging aspect. There are numerous ways to harm the security of internet users; the most common is phishing, which is a type of attack that aims to steal or misuse a user’s personal information, including account information, identity, passwords, and credit card details. Phishers gather information about the users through mimicking original websites that are indistinguishable to the eye. Sensitive information about the users may be accessed and they might be subject to financial harm or identity theft. Therefore, there is a strong need to develop a system that efficiently detects phishing websites. Three distinct deep learning-based…

Citation impact

206
total citations
FWCI
90.06
Percentile
100%
References
36
Citations per year

Authors

6

Topics & keywords

Keywords
  • Phishing
  • Computer science
  • Convolutional neural network
  • Credit card
  • Artificial intelligence
  • Password
  • Deep learning
  • Identity theft
UN Sustainable Development Goals
  • Peace, Justice and strong institutions
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