Deep learning for phishing detection: Taxonomy, current challenges and future directions
Phishing has become an increasing concern and captured the attention of end-users as well
as security experts. Existing phishing detection techniques still suffer from the deficiency in …
as security experts. Existing phishing detection techniques still suffer from the deficiency in …
[HTML][HTML] Web phishing detection using web crawling, cloud infrastructure and deep learning framework
The pandemic of COVID-19 obliges citizens to follow the “work from home “scheme. The
Internet is also a powerful channel for social connections. The huge dependency of people …
Internet is also a powerful channel for social connections. The huge dependency of people …
[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] Intelligent deep machine learning cyber phishing url detection based on bert features extraction
Recently, phishing attacks have been a crucial threat to cyberspace security. Phishing is a
form of fraud that attracts people and businesses to access malicious uniform resource …
form of fraud that attracts people and businesses to access malicious uniform resource …
An explainable multi-modal hierarchical attention model for developing phishing threat intelligence
Phishing website attack, as one of the most persistent forms of cyber threats, evolves and
remains a major cyber threat. Various detection methods (eg, lookup systems, fraud cue …
remains a major cyber threat. Various detection methods (eg, lookup systems, fraud cue …
Sustaining accurate detection of phishing URLs using SDN and feature selection approaches
Phishing is an online fraud that deceives visitors by impersonating a legitimate website to
steal their confidential or personal information. This is a well-known form of cybercrime. With …
steal their confidential or personal information. This is a well-known form of cybercrime. With …
[HTML][HTML] Phishing webpage classification via deep learning-based algorithms: an empirical study
Phishing detection with high-performance accuracy and low computational complexity has
always been a topic of great interest. New technologies have been developed to improve …
always been a topic of great interest. New technologies have been developed to improve …
Detecting Phishing Sites--An Overview
P Kalaharsha, BM Mehtre - arXiv preprint arXiv:2103.12739, 2021 - arxiv.org
Phishing is one of the most severe cyber-attacks where researchers are interested to find a
solution. In phishing, attackers lure end-users and steal their personal in-formation. To …
solution. In phishing, attackers lure end-users and steal their personal in-formation. To …
[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 …
Sufficiency of ensemble machine learning methods for phishing websites detection
Y Wei, Y Sekiya - IEEE Access, 2022 - ieeexplore.ieee.org
Phishing is a kind of worldwide spread cybercrime that uses disguised websites to trick
users into downloading malware or providing personally sensitive information to attackers …
users into downloading malware or providing personally sensitive information to attackers …