Phishing website detection: How effective are deep learning‐based models and hyperparameter optimization?

M Almousa, T Zhang, A Sarrafzadeh… - Security and …, 2022 - Wiley Online Library
Phishing websites are fraudulent websites that appear legitimate and trick unsuspecting
users into interacting with them, stealing their valuable information. Because phishing …

High accuracy phishing detection based on convolutional neural networks

SY Yerima, MK Alzaylaee - 2020 3rd International Conference …, 2020 - ieeexplore.ieee.org
The persistent growth in phishing and the rising volume of phishing websites has led to
individuals and organizations worldwide becoming increasingly exposed to various cyber …

Machine learningtechniquesfor detection of website phishing: A review for promises and challenges

A Odeh, I Keshta, E Abdelfattah - 2021 IEEE 11th Annual …, 2021 - ieeexplore.ieee.org
Websites phishing is a cyber-attack that targets online users to steal their sensitive
informationincluding login credentials and banking details. Attackers fool the users by …

Phishing website detection based on deep convolutional neural network and random forest ensemble learning

R Yang, K Zheng, B Wu, C Wu, X Wang - Sensors, 2021 - mdpi.com
Phishing has become one of the biggest and most effective cyber threats, causing hundreds
of millions of dollars in losses and millions of data breaches every year. Currently, anti …

A deep learning-based phishing detection system using CNN, LSTM, and LSTM-CNN

Z Alshingiti, R Alaqel, J Al-Muhtadi, QEU Haq… - Electronics, 2023 - mdpi.com
In terms of the Internet and communication, security is the fundamental challenging aspect.
There are numerous ways to harm the security of internet users; the most common is …

A new hybrid deep learning-based phishing detection system using MCS-DNN classifier

J Anitha, M Kalaiarasu - Neural Computing and Applications, 2022 - Springer
Phishing is an attack that deceit online users by means of masquerading as a genuine
website to pilfer their classified or personal information. This is one among the recognized …

Phishing webpage classification via deep learning-based algorithms: an empirical study

NQ Do, A Selamat, O Krejcar, T Yokoi, H Fujita - Applied Sciences, 2021 - mdpi.com
Phishing detection with high-performance accuracy and low computational complexity has
always been a topic of great interest. New technologies have been developed to improve …

Single and hybrid-ensemble learning-based phishing website detection: examining impacts of varied nature datasets and informative feature selection technique

K Adane, B Beyene, M Abebe - Digital Threats: Research and Practice, 2023 - dl.acm.org
To tackle issues associated with phishing website attacks, the study conducted rigorous
experiments on RF, GB, and CATB classifiers. Since each classifier was an ensemble …

Deep learning with convolutional neural network and long short-term memory for phishing detection

MA Adebowale, KT Lwin… - 2019 13th International …, 2019 - ieeexplore.ieee.org
Phishers sometimes exploit users' trust of a known website's appearance by using a similar
page that looks like the legitimate site. In recent times, researchers have tried to identify and …

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 …