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 …

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 …

Detection of phishing URLs by using deep learning approach and multiple features combinations

T Rasymas, L Dovydaitis - Baltic journal of modern computing, 2020 - epublications.vu.lt
Abstract [eng] Phishing detection is mostly performed through the usage of blacklists.
However, blacklists cannot be exhaustive and lack the ability to detect newly generated …

TCURL: Exploring hybrid transformer and convolutional neural network on phishing URL detection

C Wang, Y Chen - Knowledge-Based Systems, 2022 - Elsevier
Phishing is a growing threat that involves cybercriminals creating counterfeit websites to lure
victims and obtain their sensitive information, such as login credentials and credit card …

An effective phishing detection model based on character level convolutional neural network from URL

A Aljofey, Q Jiang, Q Qu, M Huang, JP Niyigena - Electronics, 2020 - mdpi.com
Phishing is the easiest way to use cybercrime with the aim of enticing people to give
accurate information such as account IDs, bank details, and passwords. This type of …

Phishing URL detection using machine learning methods

SKH Ahammad, SD Kale, GD Upadhye… - … in Engineering Software, 2022 - Elsevier
Phishing is among the most concerning issues in a constantly changing world. The
increasing use of the Internet has led to a new way of stealing data, known as cybercrime …

A novel approach for phishing URLs detection using lexical based machine learning in a real-time environment

BB Gupta, K Yadav, I Razzak, K Psannis… - Computer …, 2021 - Elsevier
In recent times, we can see a massive increase in the number of devices that are being
connected to the internet. These devices include but are not limited to smartphones, IoT, and …

Intelligent deep machine learning cyber phishing url detection based on bert features extraction

M Elsadig, AO Ibrahim, S Basheer, MA Alohali… - Electronics, 2022 - mdpi.com
Recently, phishing attacks have been a crucial threat to cyberspace security. Phishing is a
form of fraud that attracts people and businesses to access malicious uniform resource …

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 …