A survey of intelligent detection designs of HTML URL phishing attacks

S Asiri, Y Xiao, S Alzahrani, S Li, T Li - IEEE Access, 2023 - ieeexplore.ieee.org
Phishing attacks are a type of cybercrime that has grown in recent years. It is part of social
engineering attacks where an attacker deceives users by sending fake messages using …

[HTML][HTML] A deep learning-based phishing detection system using CNN, LSTM, and LSTM-CNN

Z Alshingiti, R Alaqel, J Al-Muhtadi, QEU Haq… - Electronics, 2023 - mdpi.com
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 …

[HTML][HTML] A systematic review on deep-learning-based phishing email detection

K Thakur, ML Ali, MA Obaidat, A Kamruzzaman - Electronics, 2023 - mdpi.com
Phishing attacks are a growing concern for individuals and organizations alike, with the
potential to cause significant financial and reputational damage. Traditional methods for …

[HTML][HTML] Addressing feature selection and extreme learning machine tuning by diversity-oriented social network search: an application for phishing websites detection

N Bacanin, M Zivkovic, M Antonijevic… - Complex & Intelligent …, 2023 - Springer
Feature selection and hyper-parameters optimization (tuning) are two of the most important
and challenging tasks in machine learning. To achieve satisfying performance, every …

[HTML][HTML] Prompt engineering or fine-tuning? a case study on phishing detection with large language models

F Trad, A Chehab - Machine Learning and Knowledge Extraction, 2024 - mdpi.com
Large Language Models (LLMs) are reshaping the landscape of Machine Learning (ML)
application development. The emergence of versatile LLMs capable of undertaking a wide …

[HTML][HTML] Unbalanced web phishing classification through deep reinforcement learning

A Maci, A Santorsola, A Coscia, A Iannacone - Computers, 2023 - mdpi.com
Web phishing is a form of cybercrime aimed at tricking people into visiting malicious URLs to
exfiltrate sensitive data. Since the structure of a malicious URL evolves over time, phishing …

[PDF][PDF] Website phishing detection using machine learning techniques

R Alazaidah, A Al-Shaikh… - Journal of …, 2024 - digitalcommons.aaru.edu.jo
Phishing is a cybercrime that is constantly increasing in the recent years due to the
increased use of the Internet and its applications. It is one of the most common types of …

ICSA: Intelligent chatbot security assistant using Text-CNN and multi-phase real-time defense against SNS phishing attacks

J Yoo, Y Cho - Expert Systems with Applications, 2022 - Elsevier
SNS phishing attack is one of the representative social engineering attacks exploiting
humans' emotions and trust and thus usually proceeds in multi-phases such that the attacker …

[HTML][HTML] The applicability of a hybrid framework for automated phishing detection

RJ van Geest, G Cascavilla, J Hulstijn, N Zannone - Computers & Security, 2024 - Elsevier
Phishing attacks are a critical and escalating cybersecurity threat in the modern digital
landscape. As cybercriminals continually adapt their techniques, automated phishing …

[HTML][HTML] Phishing email detection model using deep learning

S Atawneh, H Aljehani - Electronics, 2023 - mdpi.com
Email phishing is a widespread cyber threat that can result in the theft of sensitive
information and financial loss. It uses malicious emails to trick recipients into providing …