Machine learningtechniquesfor detection of website phishing: A review for promises and challenges

A Odeh, I Keshta, E Abdelfattah - 2021 IEEE 11th Annual …, 2021 - ieeexplore.ieee.org
Websites phishing is a cyber-attack that targets online users to steal their sensitive
informationincluding login credentials and banking details. Attackers fool the users by …

Phishing detection approaches

AMA Zuraiq, M Alkasassbeh - 2019 2nd International …, 2019 - ieeexplore.ieee.org
Phishing is one of the most common attacks on the internet that employs social engineering
techniques like deceiving user with forged websites in an attempt to gain sensitive …

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 …

An improved breast cancer disease prediction system using ML and PCA

S Laghmati, S Hamida, K Hicham, B Cherradi… - Multimedia Tools and …, 2024 - Springer
Computer-aided diagnosis (CAD) systems based on machine learning (ML) techniques
have altered the field of medical research. The deployement of such models to classify …

Phishing detection based on machine learning and feature selection methods

M Almseidin, AMA Zuraiq, M Al-Kasassbeh, N Alnidami - 2019 - learntechlib.org
With increasing technology developments, the Internet has become everywhere and
accessible by everyone. There are a considerable number of web-pages with different …

Weighted ensemble classifier for malicious link detection using natural language processing

S Balasubaramanian, P Ganesan… - International Journal of …, 2025 - emerald.com
Purpose The internet has completely merged into contemporary life. People are addicted to
using internet services for everyday activities. Consequently, an abundance of information …

Intelligent ensemble learning approach for phishing website detection based on weighted soft voting

A Taha - Mathematics, 2021 - mdpi.com
The continuous development of network technologies plays a major role in increasing the
utilization of these technologies in many aspects of our lives, including e-commerce …

Prediction of dyslexia from eye movements using machine learning

A Jothi Prabha, R Bhargavi - IETE Journal of Research, 2022 - Taylor & Francis
Dyslexia is a reading disability and a language disorder where the individual exhibits
difficulty in reading, writing, speaking, and trouble in spelling words. Early prediction of …

Intelligent methods for accurately detecting phishing websites

A Abuzuraiq, M Alkasassbeh… - 2020 11th International …, 2020 - ieeexplore.ieee.org
With increasing technology developments, there is a massive number of websites with
varying purposes. But a particular type exists within this large collection, the so-called …

Large Multimodal Agents for Accurate Phishing Detection with Enhanced Token Optimization and Cost Reduction

F Trad, A Chehab - … on Foundation and Large Language Models …, 2024 - ieeexplore.ieee.org
With the rise of sophisticated phishing attacks, there is a growing need for effective and
economical detection solutions. This paper explores the use of large multimodal agents …