[PDF][PDF] A classification model for detection of Chinese phishing e-business websites

H Jiang, D Zhang, Z Yan - 2013 - scholar.archive.org
There has been an increasing number of fake e-Business websites created and used, which
have resulted in rising financial loss for online consumers and businesses. Therefore …

A Comparative Analysis of Machine Learning-Based Website Phishing Detection Using URL Information

MM Uddin, KA Islam, M Mamun… - 2022 5th International …, 2022 - ieeexplore.ieee.org
The growing popularity of the internet help to expand e-commerce business, but such
activities have security challenges caused by cybercriminals defrauding and stealing …

Machine learning approach for phishing website detection: A literature survey

RR Patil, G Kaur, H Jain, A Tiwari, S Joshi… - Journal of Discrete …, 2022 - Taylor & Francis
The past year saw our world afflicted by COVID-19 undergo a digital transformation which
led to a majority of people and organizations gravitate towards the internet. A remote …

[PDF][PDF] Intelligent tree-based ensemble approaches for phishing website detection

YA Alsariera, AO Balogun, VE Adeyemo… - J. Eng. Sci …, 2022 - jestec.taylors.edu.my
The adverse effects of phishing attacks on unsuspecting victims are damaging and
nefarious. Stealing of information from unsuspecting users surges on the internet and …

An Efficient Phishing Website Detection Plugin Service for Existing Web Browsers Using Random Forest Classifier

TK Hua, A Macgregor - Authorea Preprints, 2022 - essopenarchive.org
An efficient phishing website detection plugin service was developed using machine
learning technique based on the prevalent phishing threat while using existing web …

Phishsifter: An Enhanced Phishing Pages Detection Method Based on the Relevance of Content and Domain

Y Ma, Z Jiang, J Jiang, K Zhang… - … Cooperative Work in …, 2023 - ieeexplore.ieee.org
A Phishing website is used to steal users' private information. The accelerated development
of phishing kits has made it convenient to create such websites, which has become a …

Hybrid approach for phishing website detection using classification algorithms

MM Raj, JAA Jothi - ParadigmPlus, 2022 - journals.itiud.org
The internet has significantly altered how we work and interact with one another. Statistics
show 63.1% of the present world population are internet users. This clearly indicates how …

Phishing website detection: How effective are deep learning‐based models and hyperparameter optimization?

M Almousa, T Zhang, A Sarrafzadeh… - Security and …, 2022 - Wiley Online Library
Phishing websites are fraudulent websites that appear legitimate and trick unsuspecting
users into interacting with them, stealing their valuable information. Because phishing …

Phishpedia: A hybrid deep learning based approach to visually identify phishing webpages

Y Lin, R Liu, DM Divakaran, JY Ng, QZ Chan… - 30th USENIX Security …, 2021 - usenix.org
Recent years have seen the development of phishing detection and identification
approaches to defend against phishing attacks. Phishing detection solutions often report …

[PDF][PDF] An Efficient Phishing Website Detection Plugin Service for Existing Web Browsers Using Random Forest Classifier

AM John-Otumu, M Rahman… - American Journal of …, 2021 - researchgate.net
An efficient phishing website detection plugin service was developed using machine
learning technique based on the prevalent phishing threat while using existing web …