A survey of intelligent detection designs of HTML URL phishing attacks
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 …
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 …
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
Phishing attacks are a growing concern for individuals and organizations alike, with the
potential to cause significant financial and reputational damage. Traditional methods for …
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
Feature selection and hyper-parameters optimization (tuning) are two of the most important
and challenging tasks in machine learning. To achieve satisfying performance, every …
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
Large Language Models (LLMs) are reshaping the landscape of Machine Learning (ML)
application development. The emergence of versatile LLMs capable of undertaking a wide …
application development. The emergence of versatile LLMs capable of undertaking a wide …
[HTML][HTML] Unbalanced web phishing classification through deep reinforcement learning
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 …
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 …
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 …
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
Phishing attacks are a critical and escalating cybersecurity threat in the modern digital
landscape. As cybercriminals continually adapt their techniques, automated phishing …
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 …
information and financial loss. It uses malicious emails to trick recipients into providing …