Single and hybrid-ensemble learning-based phishing website detection: examining impacts of varied nature datasets and informative feature selection technique
To tackle issues associated with phishing website attacks, the study conducted rigorous
experiments on RF, GB, and CATB classifiers. Since each classifier was an ensemble …
experiments on RF, GB, and CATB classifiers. Since each classifier was an ensemble …
Light gradient boosting machine-based phishing webpage detection model using phisher website features of mimic URLs
With the advent of the 20th century, the popularity of digital service usages is increasing
every day. The internet has always been a popular communication method, and phishing …
every day. The internet has always been a popular communication method, and phishing …
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 …
Applications of deep learning for phishing detection: a systematic literature review
Phishing attacks aim to steal confidential information using sophisticated methods,
techniques, and tools such as phishing through content injection, social engineering, online …
techniques, and tools such as phishing through content injection, social engineering, online …
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 …
Multilayer stacked ensemble learning model to detect phishing websites
Phishing is a cyber attack that tricks the online users into revealing sensitive information with
a fake website imitating a legitimate website. The attackers with stolen credentials not only …
a fake website imitating a legitimate website. The attackers with stolen credentials not only …
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 …
Combining long-term recurrent convolutional and graph convolutional networks to detect phishing sites using URL and HTML
Phishing, a well-known cyber-attack practice has gained significant research attention in the
cyber-security domain for the last two decades due to its dynamic attacking strategies …
cyber-security domain for the last two decades due to its dynamic attacking strategies …
PhishingRTDS: A real-time detection system for phishing attacks using a Deep Learning model
In recent years, phishing attacks have become more intelligent and more challenging to
detect using typical phishing methods. Moreover, attackers have leveraged some web …
detect using typical phishing methods. Moreover, attackers have leveraged some web …
A lightweight multi-view learning approach for phishing attack detection using transformer with mixture of experts
Phishing poses a significant threat to the financial and privacy security of internet users and
often serves as the starting point for cyberattacks. Many machine-learning-based methods …
often serves as the starting point for cyberattacks. Many machine-learning-based methods …