[HTML][HTML] Look before you leap: Detecting phishing web pages by exploiting raw URL and HTML characteristics

C Opara, Y Chen, B Wei - Expert Systems with Applications, 2024 - Elsevier
Phishing websites distribute unsolicited content and are frequently used to commit email
and internet fraud. Detecting them before any user information is submitted is critical …

[PDF][PDF] Intelligent tree-based ensemble approaches for phishing website detection

YA Alsariera, AO Balogun, VE Adeyemo… - J. Eng. Sci …, 2022 - jestec.taylors.edu.my
The adverse effects of phishing attacks on unsuspecting victims are damaging and
nefarious. Stealing of information from unsuspecting users surges on the internet and …

Research on website phishing detection based on LSTM RNN

Y Su - 2020 IEEE 4th Information Technology, Networking …, 2020 - ieeexplore.ieee.org
In order to effectively detect phishing attacks, this paper designed a new detection system for
phishing websites using LSTM Recurrent Neural Networks (RNN). LSTM has the advantage …

Phishing attacks detection using machine learning and deep learning models

M Aljabri, S Mirza - 2022 7th International Conference on Data …, 2022 - ieeexplore.ieee.org
Because of the fast expansion of internet users, phishing attacks have become a significant
menace where the attacker poses as a trusted entity in order to steal sensitive data, causing …

Advancing Phishing Email Detection: A Comparative Study of Deep Learning Models

N Altwaijry, I Al-Turaiki, R Alotaibi, F Alakeel - Sensors, 2024 - mdpi.com
Phishing is one of the most dangerous attacks targeting individuals, organizations, and
nations. Although many traditional methods for email phishing detection exist, there is a …

[PDF][PDF] Machine learning and deep learning based phishing websites detection: The current gaps and next directions

K Adane, B Beyene - Review of Computer Engineering Research, 2022 - academia.edu
To compete with the rest of the world, every country is relying on the internet for cashless
transactions, online commerce, paperless tickets, and other productivity methods. Phishing …

Phishing websites detection by using optimized stacking ensemble model

Z Ghaleb Al-Mekhlafi… - … Systems Science and …, 2022 - irep.ntu.ac.uk
Phishing attacks are security attacks that do not affect only individuals' or organizations'
websites but may affect Internet of Things (IoT) devices and networks. IoT environment is an …

CCrFS: combine correlation features selection for detecting phishing websites using machine learning

J Moedjahedy, A Setyanto, FK Alarfaj, M Alreshoodi - Future Internet, 2022 - mdpi.com
Internet users are continually exposed to phishing as cybercrime in the 21st century. The
objective of phishing is to obtain sensitive information by deceiving a target and using the …

An intelligent cyber security phishing detection system using deep learning techniques

A Mughaid, S AlZu'bi, A Hnaif, S Taamneh, A Alnajjar… - Cluster …, 2022 - Springer
Recently, phishing attacks have become one of the most prominent social engineering
attacks faced by public internet users, governments, and businesses. In response to this …

Hybrid intelligent phishing website prediction using deep neural networks with genetic algorithm‐based feature selection and weighting

W Ali, AA Ahmed - IET Information Security, 2019 - Wiley Online Library
In recent years, the web phishing attack has become one of the most serious web security
problems, in which the phishers can steal significant financial information about the internet …