[PDF][PDF] Website phishing detection using machine learning techniques

R Alazaidah, A Al-Shaikh… - Journal of …, 2024 - digitalcommons.aaru.edu.jo
Phishing is a cybercrime that is constantly increasing in the recent years due to the
increased use of the Internet and its applications. It is one of the most common types of …

Sufficiency of ensemble machine learning methods for phishing websites detection

Y Wei, Y Sekiya - IEEE Access, 2022 - ieeexplore.ieee.org
Phishing is a kind of worldwide spread cybercrime that uses disguised websites to trick
users into downloading malware or providing personally sensitive information to attackers …

A Boosting based Hybrid Feature Selection and Multi-layer Stacked Ensemble Learning Model to detect phishing websites

LR Kalabarige, RS Rao, AR Pais, LA Gabralla - IEEE Access, 2023 - ieeexplore.ieee.org
Phishing is a type of online scam where the attacker tries to trick you into giving away your
personal information, such as passwords or credit card details, by posing as a trustworthy …

Feature selection for phishing website by using naive bayes classifier

T Mustafa, M Karabatak - 2023 11th International Symposium …, 2023 - ieeexplore.ieee.org
The Internet is gradually becoming a necessary and important tool of human's everyday life.
But internet users might have poor security for different kinds of web threats, which may have …

Intelligent Methods in Phishing Website Detection: A Systematic Literature Review

Y Sattari, GA Montazer - 2023 - researchsquare.com
Abstract" Phishing" is a well-known cyberattack in which Internet users are targeted and
directed to a fake website, similar to a legitimate and valid one. In such attacks, users are …

A deep learning mechanism to detect phishing URLs using the permutation importance method and SMOTE-Tomek link

R Zaimi, M Hafidi, M Lamia - The Journal of Supercomputing, 2024 - Springer
In contemporary times, the proliferation of phishing attacks presents a substantial and
growing challenge to cybersecurity. This fraudulent tactic is designed to deceive …

A Permutaion Importance Based feature selection method and Deep Learning Model to Detect Phishing Websites

R Zaimi, M Hafidi, L Mahnane - 2024 - researchsquare.com
Phishing attacks pose a significant and escalating threat to cybersecurity in recent times.
This deceptive scam aims to trick naive users, luring them into visiting harmful websites and …

Strengthening Small and Medium-Sized Businesses' Cybersecurity: A Machine Learning-based Phishing Classification Model

SC Song - 2023 - search.proquest.com
Small and medium-sized businesses (SMBs) are priority targets for cybercriminals due to
lacking financial, human, and technical resources. Most SMBs cannot afford information …

Graph-Based Feature Selection Model for Genes' Phenotype Prediction

CG Mugwika - 2022 - ir.jkuat.ac.ke
High throughput sequencing technologies generate large volumes of data and this
effectively ushers' life sciences into the big data realm. Data generated using these …

Feature Selection Approach for Phishing Detection

AS Küçükkara… - 2022 3rd International …, 2022 - ieeexplore.ieee.org
This study offers a novel approach to the feature selection. We propose a method to reduce
the number of features while maintaining high detection accuracy by combining two popular …