[HTML][HTML] A systematic literature review on phishing website detection techniques

A Safi, S Singh - Journal of King Saud University-Computer and …, 2023 - Elsevier
Phishing is a fraud attempt in which an attacker acts as a trusted person or entity to obtain
sensitive information from an internet user. In this Systematic Literature Survey (SLR) …

Machine learning-assisted low-dimensional electrocatalysts design for hydrogen evolution reaction

J Li, N Wu, J Zhang, HH Wu, K Pan, Y Wang, G Liu… - Nano-Micro Letters, 2023 - Springer
Efficient electrocatalysts are crucial for hydrogen generation from electrolyzing water.
Nevertheless, the conventional" trial and error" method for producing advanced …

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 …

Cyber security threats: A never-ending challenge for e-commerce

X Liu, SF Ahmad, MK Anser, J Ke, M Irshad… - Frontiers in …, 2022 - frontiersin.org
This study explores the challenge of cyber security threats that e-commerce technology and
business are facing. Technology applications for e-commerce are attracting attention from …

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 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 …

Cyber threat intelligence-based malicious URL detection model using ensemble learning

M Alsaedi, FA Ghaleb, F Saeed, J Ahmad, M Alasli - Sensors, 2022 - mdpi.com
Web applications have become ubiquitous for many business sectors due to their platform
independence and low operation cost. Billions of users are visiting these applications to …

Detecting malicious URLs using machine learning techniques: review and research directions

M Aljabri, HS Altamimi, SA Albelali, M Al-Harbi… - IEEE …, 2022 - ieeexplore.ieee.org
In recent years, the digital world has advanced significantly, particularly on the Internet,
which is critical given that many of our activities are now conducted online. As a result of …

A hybrid approach for alluring ads phishing attack detection using machine learning

MW Shaukat, R Amin, MMA Muslam, AH Alshehri, J Xie - Sensors, 2023 - mdpi.com
Phishing attacks are evolving with more sophisticated techniques, posing significant threats.
Considering the potential of machine-learning-based approaches, our research presents a …

A deep learning-based framework for phishing website detection

L Tang, QH Mahmoud - IEEE Access, 2021 - ieeexplore.ieee.org
Phishing attackers spread phishing links through e-mail, text messages, and social media
platforms. They use social engineering skills to trick users into visiting phishing websites and …