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Detection of Phishing URLs Using Temporal Convolutional Network

  • Published:2022 Issue: Volume:212 Page:74-82
  • ISSN:1877-0509
  • Container-title:Procedia Computer Science
  • language:en
  • Short-container-title:Procedia Computer Science

Author:

Remmide Mohamed Abdelkarim,Boumahdi Fatima,Boustia Narhimene,Feknous Chalabia Lilia,Della Romaissa

Publisher

Elsevier BV

Subject

General Engineering

Reference25 articles.

1. Phishing Activity Trends Report 3st Quarter 2021,2021

2. Who falls for phish? a demographic analysis of phishing susceptibility and effectiveness of interventions;Sheng,2010

3. An enhanced blacklist method to detect phishing websites;Rao,2017

4. Cantina: A content-based approach to detecting phishing web sites;Zhang,2007

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1. A comprehensive literature review on phishing URL detection using deep learning techniques;Journal of Cyber Security Technology;2024-07-23

2. Toward a Hybrid Approach Combining Deep Learning and Case-Based Reasoning for Phishing Email Detection;International Journal on Artificial Intelligence Tools;2024-06-28

3. Detection of Phishing Websites;International Journal of Innovative Science and Research Technology (IJISRT);2024-05-15

4. A cyber defense system against phishing attacks with deep learning game theory and LSTM-CNN with African vulture optimization algorithm (AVOA);International Journal of Information Security;2024-05-05

5. Detection of Cloned Attacks in Connecting Media using Bernoulli RBM_RF Classifier (BRRC);Multimedia Tools and Applications;2024-02-21
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