Phishing detection system through hybrid machine learning based on URL

A Karim, M Shahroz, K Mustofa, SB Belhaouari… - IEEE …, 2023 - ieeexplore.ieee.org
Currently, numerous types of cybercrime are organized through the internet. Hence, this
study mainly focuses on phishing attacks. Although phishing was first used in 1996, it has …

CCrFS: combine correlation features selection for detecting phishing websites using machine learning

J Moedjahedy, A Setyanto, FK Alarfaj, M Alreshoodi - Future Internet, 2022 - mdpi.com
Internet users are continually exposed to phishing as cybercrime in the 21st century. The
objective of phishing is to obtain sensitive information by deceiving a target and using the …

Highly accurate phishing URL detection based on machine learning

S Jalil, M Usman, A Fong - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
Phishing is a persistent and major threat on the internet that is growing steadily and
dangerously. It is a type of cyber-attack, in which phisher mimics a legitimate website page …

Analysis of the performance impact of fine-tuned machine learning model for phishing URL detection

SR Abdul Samad, S Balasubaramanian, AS Al-Kaabi… - Electronics, 2023 - mdpi.com
Phishing leverages people's tendency to share personal information online. Phishing
attacks often begin with an email and can be used for a variety of purposes. The …

[PDF][PDF] K-nearest neighbor based URL identification model for phishing attack detection

TA Assegie - Indian Journal of Artificial Intelligence and Neural …, 2021 - academia.edu
Phishing causes many problems in business industry. The electronic commerce and
electronic banking such as mobile banking involves a number of online transaction. In such …

PDMLP: phishing detection using multilayer perceptron

S Al-Ahmadi - International Journal of Network Security & Its …, 2020 - papers.ssrn.com
A phishing website is a significant problem on the internet. It's one of the Cyber-attack types
where attackers try to obtain sensitive information such as username and password or credit …

Hybrid Rule‐Based Solution for Phishing URL Detection Using Convolutional Neural Network

Y Mourtaji, M Bouhorma, D Alghazzawi… - Wireless …, 2021 - Wiley Online Library
The phenomenon of phishing has now been a common threat, since many individuals and
webpages have been observed to be attacked by phishers. The common purpose of …

Machine learning based phishing detection from URLs

OK Sahingoz, E Buber, O Demir, B Diri - Expert Systems with Applications, 2019 - Elsevier
Due to the rapid growth of the Internet, users change their preference from traditional
shopping to the electronic commerce. Instead of bank/shop robbery, nowadays, criminals try …

Detection of phishing websites using an efficient feature-based machine learning framework

RS Rao, AR Pais - Neural Computing and applications, 2019 - Springer
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 …

Phishnot: A cloud-based machine-learning approach to phishing url detection

MM Alani, H Tawfik - Computer Networks, 2022 - Elsevier
Phishing is constantly growing to be one of the most adopted tools for conducting cyber-
attacks. Recent statistics indicated that 97% of users could not recognize a sophisticated …