An efficient phishing webpage detector

M He, SJ Horng, P Fan, MK Khan, RS Run… - Expert systems with …, 2011 - Elsevier
Phishing attack is growing significantly each year and is considered as one of the most
dangerous threats in the Internet which may cause people to lose confidence in e …

[PDF][PDF] Phishing website detection based on supervised machine learning with wrapper features selection

W Ali - International Journal of Advanced Computer Science …, 2017 - researchgate.net
The problem of Web phishing attacks has grown considerably in recent years and phishing
is considered as one of the most dangerous Web crimes, which may cause tremendous and …

Detecting phishing websites using machine learning

A Alswailem, B Alabdullah, N Alrumayh… - … & Information Security …, 2019 - ieeexplore.ieee.org
Phishing website is one of the internet security problems that target the human
vulnerabilities rather than software vulnerabilities. It can be described as the process of …

Phish-Sight: a new approach for phishing detection using dominant colors on web pages and machine learning

P Pandey, N Mishra - International Journal of Information Security, 2023 - Springer
Phishing is one of the most dangerous threats in which a hacker imitates a person, company
or government agency to lure and deceive their victims. Machine learning anti-phishing …

Phishing website identification based on double weight random forest

Z Zhou, C Zhang - … Conference on Computer Vision, Image and …, 2022 - ieeexplore.ieee.org
Aiming at the problems of insufficient detection accuracy and high misjudgment rate caused
by a large amount of redundant data, a random forest algorithm based on the combination of …

A genetic algorithm based model for Chinese phishing E-commerce websites detection

Z Yan, S Liu, T Wang, B Sun, H Jiang… - … 2016, Held as Part of HCI …, 2016 - Springer
We propose a new Chinese phishing e-commerce websites detection model which
integrates the URL features and web features of websites. Some unique features of Chinese …

Phishing Attack Detection: An Improved Performance Through Ensemble Learning

B McConnell, D Del Monaco, M Zabihimayvan… - … Conference on Artificial …, 2023 - Springer
Phishing is a cybercrime that deceives online users and steals their confidential information
by impersonating a legitimate website or URL. Several machine learning-based strategies …

Phishing detection using machine learning techniques

V Shahrivari, MM Darabi, M Izadi - arXiv preprint arXiv:2009.11116, 2020 - arxiv.org
The Internet has become an indispensable part of our life, However, It also has provided
opportunities to anonymously perform malicious activities like Phishing. Phishers try to …

Phishing website detection based on effective machine learning approach

G Harinahalli Lokesh, G BoreGowda - Journal of Cyber Security …, 2021 - Taylor & Francis
Phishing a form of cyber-attack, which has an adverse effect on people where the user is
directed to fake websites and duped to reveal their sensitive and personal information which …

[PDF][PDF] Phishing website detection using C4. 5 decision tree

X YANG, L YAN, B YANG, Y LI - International Conference on …, 2017 - scholar.archive.org
Among various anti-phishing solutions, Machine Learning techniques are considered to be
promising. The purpose of this study was to evaluate the effect of C4. 5 decision tree …