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 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 hybrid DNN–LSTM model for detecting phishing URLs

A Ozcan, C Catal, E Donmez, B Senturk - Neural Computing and …, 2023 - Springer
Phishing is an attack targeting to imitate the official websites of corporations such as banks,
e-commerce, financial institutions, and governmental institutions. Phishing websites aim to …

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 …

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 …

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 …

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 …

Applications of deep learning for phishing detection: a systematic literature review

C Catal, G Giray, B Tekinerdogan, S Kumar… - … and Information Systems, 2022 - Springer
Phishing attacks aim to steal confidential information using sophisticated methods,
techniques, and tools such as phishing through content injection, social engineering, online …

Character-level word encoding deep learning model for combating cyber threats in phishing URL detection

M Alshehri, A Abugabah, A Algarni… - Computers and Electrical …, 2022 - Elsevier
ABSTRACT A cyber threat is generally a malicious activity that damages or steals data, or
something that disrupts digital life. Such threats include viruses, security breaches, DoS …

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 …