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 …

A Deep learning-based innovative technique for phishing detection in modern security with uniform resource locators

EA Aldakheel, M Zakariah, GA Gashgari, FA Almarshad… - Sensors, 2023 - mdpi.com
Organizations and individuals worldwide are becoming increasingly vulnerable to
cyberattacks as phishing continues to grow and the number of phishing websites grows. As …

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 …

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 …

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 …

Efficient deep learning techniques for the detection of phishing websites

M Somesha, AR Pais, RS Rao, VS Rathour - Sādhanā, 2020 - Springer
Phishing is a fraudulent practice and a form of cyber-attack designed and executed with the
sole purpose of gathering sensitive information by masquerading the genuine websites …

An adaptive machine learning based approach for phishing detection using hybrid features

MM Yadollahi, F Shoeleh, E Serkani… - … Conference on Web …, 2019 - ieeexplore.ieee.org
Nowadays, phishing is one of the most usual web threats with regards to the significant
growth of the World Wide Web in volume over time. Phishing attackers always use new (zero …

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 …

Combining long-term recurrent convolutional and graph convolutional networks to detect phishing sites using URL and HTML

S Ariyadasa, S Fernando, S Fernando - IEEE Access, 2022 - ieeexplore.ieee.org
Phishing, a well-known cyber-attack practice has gained significant research attention in the
cyber-security domain for the last two decades due to its dynamic attacking strategies …

Intelligent methods for accurately detecting phishing websites

A Abuzuraiq, M Alkasassbeh… - 2020 11th International …, 2020 - ieeexplore.ieee.org
With increasing technology developments, there is a massive number of websites with
varying purposes. But a particular type exists within this large collection, the so-called …