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 …

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 …

Multilayer stacked ensemble learning model to detect phishing websites

LR Kalabarige, RS Rao, A Abraham… - IEEE Access, 2022 - ieeexplore.ieee.org
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 …

Phishing web site detection using diverse machine learning algorithms

A Zamir, HU Khan, T Iqbal, N Yousaf, F Aslam… - The Electronic …, 2020 - emerald.com
Purpose This paper aims to present a framework to detect phishing websites using stacking
model. Phishing is a type of fraud to access users' credentials. The attackers access users' …

Modeling hybrid feature-based phishing websites detection using machine learning techniques

S Das Guptta, KT Shahriar, H Alqahtani… - Annals of Data …, 2024 - Springer
In this paper, we mainly present a machine learning based approach to detect real-time
phishing websites by taking into account URL and hyperlink based hybrid features to …

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 …

A method for detecting phishing websites based on tiny-bert stacking

D He, X Lv, S Zhu, S Chan… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Network and cyberspace security remains challenging in our increasingly connected worlds,
and risks include those resulting from malicious cyber activities such as phishing. To combat …

[PDF][PDF] Phishing website detection: An improved accuracy through feature selection and ensemble learning

AA Ubing, SKB Jasmi, A Abdullah… - International Journal of …, 2019 - academia.edu
This research focuses on evaluating whether a website is legitimate or phishing. Our
research contributes to improving the accuracy of phishing website detection. Hence, a …

A high-accuracy phishing website detection method based on machine learning

M Bahaghighat, M Ghasemi, F Ozen - Journal of Information Security and …, 2023 - Elsevier
The rapid development of e-commerce, e-banking, and social networks has made phishing
attack detection one of the most critical technologies in all cyber security systems. To …

Detection of phishing websites using a novel twofold ensemble model

K Nagaraj, B Bhattacharjee, A Sridhar… - Journal of Systems and …, 2018 - emerald.com
Purpose Phishing is one of the major threats affecting businesses worldwide in current
times. Organizations and customers face the hazards arising out of phishing attacks …