[HTML][HTML] An optimized stacking ensemble model for phishing websites detection

M Al-Sarem, F Saeed, ZG Al-Mekhlafi, BA Mohammed… - Electronics, 2021 - mdpi.com
Security attacks on legitimate websites to steal users' information, known as phishing
attacks, have been increasing. This kind of attack does not just affect individuals' or …

“X-Phish: Days of Future Past”: Adaptive & Privacy Preserving Phishing Detection

SK Deval, M Tripathi, B Bezawada… - 2021 IEEE Conference …, 2021 - ieeexplore.ieee.org
Website phishing continues to persist as one of the most important security threats of the
modern Internet era. A major concern has been that machine learning based approaches …

[HTML][HTML] Improved Phishing Attack Detection with Machine Learning: A Comprehensive Evaluation of Classifiers and Features

S Kapan, E Sora Gunal - Applied Sciences, 2023 - mdpi.com
In phishing attack detection, machine learning-based approaches are more effective than
simple blacklisting strategies, as they can adapt to new types of attacks and do not require …

[PDF][PDF] Comparative study of machine learning algorithms for phishing website detection

K Omari - International Journal of Advanced Computer Science …, 2023 - researchgate.net
Phishing, a prevalent online threat where attackers impersonate legitimate organizations to
obtain sensitive information from victims, poses a significant cybersecurity challenge. Recent …

Detecting phishing websites using machine learning

S Alrefaai, G Özdemir… - … International Congress on …, 2022 - ieeexplore.ieee.org
Phishing, a cybercriminal's attempted attack, is a social web-engineering attack in which
valuable data or personal information might be stolen from either email addresses or …

An ensemble method for phishing websites detection based on XGBoost

J Gu, H Xu - 2022 14th international conference on computer …, 2022 - ieeexplore.ieee.org
N owadays, the internet is spreading widely around the world. Beside the benefits the
internet brings to its users, there are many potential harms such as phishing scams. These …

Using Genetic Algorithms to Optimized Stacking Ensemble Model for Phishing Websites Detection

ZG Al-Mekhlafi, BA Mohammed - … 2021, Penang, Malaysia, August 24–25 …, 2021 - Springer
Phishing attacks are security attacks that affect individuals and organisations websites. I
addition, it may also devices and networks such as Internet of Things (IoT) devices and …

Intelligent Methods in Phishing Website Detection: A Systematic Literature Review

Y Sattari, GA Montazer - 2023 - researchsquare.com
Abstract" Phishing" is a well-known cyberattack in which Internet users are targeted and
directed to a fake website, similar to a legitimate and valid one. In such attacks, users are …

Stop-Phish: an intelligent phishing detection method using feature selection ensemble

AV Ramana, KL Rao, RS Rao - Social Network analysis and mining, 2021 - Springer
Phishing is a cyber-attack which generates a fake website that imitates a trusted website to
steal the sensitive information such as username, password, and credit card information …

Machine Learning-Based Phishing Detection Using URL Features: A Comprehensive Review

AUZ Asif, H Shirazi, I Ray - … Symposium on Stabilizing, Safety, and Security …, 2023 - Springer
Phishing is a social engineering attack in which an attacker sends a fraudulent message to a
user in the hope of obtaining sensitive confidential information. Machine learning appears to …