Phishing web site detection using diverse machine learning algorithms
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' …
model. Phishing is a type of fraud to access users' credentials. The attackers access users' …
An optimized stacking ensemble model for phishing websites detection
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 …
attacks, have been increasing. This kind of attack does not just affect individuals' or …
Detection of phishing websites using an efficient feature-based machine learning framework
Phishing is a cyber-attack which targets naive online users tricking into revealing sensitive
information such as username, password, social security number or credit card number etc …
information such as username, password, social security number or credit card number etc …
[HTML][HTML] A predictive model for phishing detection
AA Orunsolu, AS Sodiya, AT Akinwale - Journal of King Saud University …, 2022 - Elsevier
Nowadays, many anti-phishing systems are being developed to identify phishing contents in
online communication systems. Despite the availability of myriads anti-phishing systems …
online communication systems. Despite the availability of myriads anti-phishing systems …
Phishing webpage classification via deep learning-based algorithms: an empirical study
Phishing detection with high-performance accuracy and low computational complexity has
always been a topic of great interest. New technologies have been developed to improve …
always been a topic of great interest. New technologies have been developed to improve …
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 …
learning technique based on the prevalent phishing threat while using existing web …
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 …
phishing websites by taking into account URL and hyperlink based hybrid features to …
An effective detection approach for phishing websites using URL and HTML features
Today's growing phishing websites pose significant threats due to their extremely
undetectable risk. They anticipate internet users to mistake them as genuine ones in order to …
undetectable risk. They anticipate internet users to mistake them as genuine ones in order to …
Multilayer stacked ensemble learning model to detect phishing websites
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 …
a fake website imitating a legitimate website. The attackers with stolen credentials not only …
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 …
phishing. Phishing websites continue to be a problem. One of the main contributions to our …