PhishSim: aiding phishing website detection with a feature-free tool

RW Purwanto, A Pal, A Blair… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this paper, we propose a feature-free method for detecting phishing websites using the
Normalized Compression Distance (NCD), a parameter-free similarity measure which …

A phishing-attack-detection model using natural language processing and deep learning

E Benavides-Astudillo, W Fuertes, S Sanchez-Gordon… - Applied Sciences, 2023 - mdpi.com
Phishing is a type of cyber-attack that aims to deceive users, usually using fraudulent web
pages that appear legitimate. Currently, one of the most-common ways to detect these …

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 …

Stop-Phish: an intelligent phishing detection method using feature selection ensemble

AV Ramana, KL Rao, RS Rao - Social Network analysis and mining, 2021 - Springer
Phishing is a cyber-attack which generates a fake website that imitates a trusted website to
steal the sensitive information such as username, password, and credit card information …

Particle swarm optimization-based feature weighting for improving intelligent phishing website detection

W Ali, S Malebary - IEEE Access, 2020 - ieeexplore.ieee.org
Over the last few years, web phishing attacks have been constantly evolving causing
customers to lose trust in e-commerce and online services. Various tools and systems based …

A novel phishing detection system using binary modified equilibrium optimizer for feature selection

S Minocha, B Singh - Computers & Electrical Engineering, 2022 - Elsevier
The Digital era faces security concerns due to the explosive growth of cyber-attacks, such as
phishing attacks, man-in-the-middle attacks, and many more. Phishing attackers deceive …

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 …

A hybrid phishing detection system using deep learning-based URL and content analysis

M Korkmaz, E Kocyigit, O Sahingoz… - Elektronika ir …, 2022 - avesis.yildiz.edu.tr
Phishing attacks are one of the most preferred types of attacks for cybercriminals, who can
easily contact a large number of victims through the use of social networks, particularly …

Phishmon: A machine learning framework for detecting phishing webpages

A Niakanlahiji, BT Chu… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
Despite numerous research efforts, phishing attacks remain prevalent and highly effective in
luring unsuspecting users to reveal sensitive information, including account credentials and …

[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 …