Phishing web page detection using N-gram features extracted from URLs

M Korkmaz, E Kocyigit, OK Sahingoz… - 2021 3rd International …, 2021 - ieeexplore.ieee.org
Recently, cyber-attacks have increased worldwide, especially during the pandemic period.
The number of connected devices in the world and the anonymous structure of the internet …

[HTML][HTML] Look before you leap: Detecting phishing web pages by exploiting raw URL and HTML characteristics

C Opara, Y Chen, B Wei - Expert Systems with Applications, 2024 - Elsevier
Phishing websites distribute unsolicited content and are frequently used to commit email
and internet fraud. Detecting them before any user information is submitted is critical …

Creating guidelines and best practices against phishing and ransomware attacks for healthcare personnel

K Perova - 2022 - lutpub.lut.fi
Amidst the digitalization of services across all sectors, it is essential to stay up to date with
the protection mechanisms to be able to protect the systems and services against a …

REVIEW OF MODELLING APPROACHES FOR WEBSITE-RELATED PREDICTIONS

P Mauer - Informatyka, Automatyka, Pomiary w Gospodarce i …, 2024 - ph.pollub.pl
This paper researches various modelling approaches for website-related predictions,
offering an overview of the field. With the ever-expanding landscape of the World Wide Web …

A deep learning model for malicious URL recognition

Q Na, S Zhang, X Li, Y Yang, J Lai… - … on Advances in …, 2024 - spiedigitallibrary.org
The proliferation of web application services in the power grid has heightened the
significance of network security, particularly regarding web security issues. The detection …

Enterprise Security Enhancement Model Using Offline Mode

YS Al-Gharaibeh - 2021 - search.proquest.com
As the past recent years, a rapid increasing number of cybercrimes was observed worldwide
targeting different kinds of enterprises on the internet level, the need to transfer the standard …