Detecting phishing websites using machine learning

VU Rani, R Pradeep, N Jayanathan… - Disruptive …, 2024 - taylorfrancis.com
Phishing is a type of criminal activity that involves the creation of bogus websites that closely
mimic actual ones in order to fool users into disclosing personal information like as …

[HTML][HTML] Bitterling fish optimization (BFO) algorithm

L Zareian, J Rahebi, MJ Shayegan - Multimedia Tools and Applications, 2024 - Springer
The bitterling fish is a prime example of intelligent behavior in nature for survival. The
bitterling fish uses the oyster spawning strategy as their babysitter. The female bitterling fish …

[HTML][HTML] A cyber defense system against phishing attacks with deep learning game theory and LSTM-CNN with African vulture optimization algorithm (AVOA)

MA Elberri, Ü Tokeşer, J Rahebi… - International Journal of …, 2024 - Springer
Phishing attacks pose a significant threat to online security, utilizing fake websites to steal
sensitive user information. Deep learning techniques, particularly convolutional neural …

Enhancing Phishing Website Detection Using Particle Swarm Optimization and Feature Selection Techniques

T Singh, M Kumar, S Kumar - 2023 IEEE World Conference on …, 2023 - ieeexplore.ieee.org
In recent years, Web phishing attacks have evolved, eroding customer trust in online
services. Traditional blacklist-based approaches struggle to detect sophisticated phishing …

PSO-UFS: A Novel Approach to Univariate Feature Selection Using Particle Swarm Optimization

MM Bouchene - 2024 - researchsquare.com
Abstract Univariate Feature Selection (UFS) traditionally involves a labor-intensive process
of trial-and-error, necessitating the selection of scoring functions and the determination of …