A deep learning-based framework for phishing website detection

L Tang, QH Mahmoud - IEEE Access, 2021 - ieeexplore.ieee.org
Phishing attackers spread phishing links through e-mail, text messages, and social media
platforms. They use social engineering skills to trick users into visiting phishing websites and …

Phishing Attacks: A Security Challenge for University Students Studying Remotely

B Nyasvisvo, JM Chigada - … African Journal of …, 2023 - digitalcommons.kennesaw.edu
The emergence of the deadly global respiratory coronavirus disease (COVID-19) in 2019
claimed many lives and altered the way people live and behave as well as how companies …

Phishing Detection by integrating Machine Learning and Deep Learning

S Sawant, R Savakhande, O Sankhe… - … on Computing for …, 2024 - ieeexplore.ieee.org
Nowadays, where individuals are constantly utilizing the internet, phishing attacks are a
threat to them. In such attacks, individuals' personal information, financial information, etc. is …

Modelling an Efficient URL Phishing Detection Approach Based on a Dense Network Model.

AA Tenis, R Santhosh - Computer Systems Science & …, 2023 - search.ebscohost.com
The social engineering cyber-attack is where culprits mislead the users by getting the login
details which provides the information to the evil server called phishing. The deep learning …

Exploring Techniques for Web Phishing Detection: A Comprehensive Survey

SS Kumar, B Swarnagowri, R Susmitha… - 2023 7th International …, 2023 - ieeexplore.ieee.org
Phishing is a common social engineering attack in today's world. By stealing confidential
data through various manipulation techniques, it has interfered with people's lives and had …

Phishing detection challenges for private and organizational users: A comparative study

J Brandqvist, J Lieberth Nilsson - 2023 - diva-portal.org
Email communication has become an indispensable aspect of modern life, enabling rapid
and efficient information exchange for individuals and organizations worldwide. However …