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 …

Deep learning for phishing detection: Taxonomy, current challenges and future directions

NQ Do, A Selamat, O Krejcar, E Herrera-Viedma… - Ieee …, 2022 - ieeexplore.ieee.org
Phishing has become an increasing concern and captured the attention of end-users as well
as security experts. Existing phishing detection techniques still suffer from the deficiency in …

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 …

Intelligent phishing detection scheme using deep learning algorithms

MA Adebowale, KT Lwin, MA Hossain - Journal of Enterprise …, 2023 - emerald.com
Purpose Phishing attacks have evolved in recent years due to high-tech-enabled economic
growth worldwide. The rise in all types of fraud loss in 2019 has been attributed to the …

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 …

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 …

Phishing attacks detection using deep learning approach

I Saha, D Sarma, RJ Chakma, MN Alam… - … on Smart Systems …, 2020 - ieeexplore.ieee.org
In the COVID-19 pandemic, people are enforced to adopt 'work from home'policy. The
Internet has become an effective channel for social interactions nowadays. Peoples' …

Classification of phishing attack solutions by employing deep learning techniques: A systematic literature review

E Benavides, W Fuertes, S Sanchez… - … and Advances in Defense …, 2020 - Springer
Phishing is the technique by which the attacker tries to obtain confidential information from
the user, with the purpose of using it fraudulently. These days, three ways to mitigate such …

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 …

An intelligent cyber security phishing detection system using deep learning techniques

A Mughaid, S AlZu'bi, A Hnaif, S Taamneh, A Alnajjar… - Cluster …, 2022 - Springer
Recently, phishing attacks have become one of the most prominent social engineering
attacks faced by public internet users, governments, and businesses. In response to this …