A survey of machine learning-based solutions for phishing website detection

L Tang, QH Mahmoud - Machine Learning and Knowledge Extraction, 2021 - mdpi.com
With the development of the Internet, network security has aroused people's attention. It can
be said that a secure network environment is a basis for the rapid and sound development of …

Phishing website detection with semantic features based on machine learning classifiers: a comparative study

A Almomani, M Alauthman, MT Shatnawi… - … Journal on Semantic …, 2022 - igi-global.com
The phishing attack is one of the main cybersecurity threats in web phishing and spear
phishing. Phishing websites continue to be a problem. One of the main contributions to our …

Analysis of the performance impact of fine-tuned machine learning model for phishing URL detection

SR Abdul Samad, S Balasubaramanian, AS Al-Kaabi… - Electronics, 2023 - mdpi.com
Phishing leverages people's tendency to share personal information online. Phishing
attacks often begin with an email and can be used for a variety of purposes. The …

Phishing or not phishing? A survey on the detection of phishing websites

R Zieni, L Massari, MC Calzarossa - IEEE Access, 2023 - ieeexplore.ieee.org
Phishing is a security threat with serious effects on individuals as well as on the targeted
brands. Although this threat has been around for quite a long time, it is still very active and …

Addressing feature selection and extreme learning machine tuning by diversity-oriented social network search: an application for phishing websites detection

N Bacanin, M Zivkovic, M Antonijevic… - Complex & Intelligent …, 2023 - Springer
Feature selection and hyper-parameters optimization (tuning) are two of the most important
and challenging tasks in machine learning. To achieve satisfying performance, every …

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 …

Improved discrete salp swarm algorithm using exploration and exploitation techniques for feature selection in intrusion detection systems

M Barhoush, BH Abed-alguni… - The Journal of …, 2023 - Springer
The salp swarm algorithm (SSA) is a well-known optimization algorithm that is increasingly
being utilized to solve many sorts of optimization problems. However, SSA may converge to …

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 …

Lightweight URL-based phishing detection using natural language processing transformers for mobile devices

K Haynes, H Shirazi, I Ray - Procedia Computer Science, 2021 - Elsevier
Hackers are increasingly launching phishing attacks via SMS and social media. Games and
dating apps introduce yet another attack vector. However, current deep learning-based …

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 …