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 or not phishing? A survey on the detection of phishing websites

R Zieni, L Massari, MC Calzarossa - IEEE Access, 2023 - ieeexplore.ieee.org
Phishing is a security threat with serious effects on individuals as well as on the targeted
brands. Although this threat has been around for quite a long time, it is still very active and …

A hybrid approach for alluring ads phishing attack detection using machine learning

MW Shaukat, R Amin, MMA Muslam, AH Alshehri, J Xie - Sensors, 2023 - mdpi.com
Phishing attacks are evolving with more sophisticated techniques, posing significant threats.
Considering the potential of machine-learning-based approaches, our research presents a …

Intelligent deep machine learning cyber phishing url detection based on bert features extraction

M Elsadig, AO Ibrahim, S Basheer, MA Alohali… - Electronics, 2022 - mdpi.com
Recently, phishing attacks have been a crucial threat to cyberspace security. Phishing is a
form of fraud that attracts people and businesses to access malicious uniform resource …

[HTML][HTML] Multi-scale semantic deep fusion models for phishing website detection

DJ Liu, GG Geng, XC Zhang - Expert Systems with Applications, 2022 - Elsevier
In view of semantic counterfeiting characteristics of phishing websites and their multi-scale
composition, this paper fully considers the semantic information of different scales, 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 …

Sufficiency of ensemble machine learning methods for phishing websites detection

Y Wei, Y Sekiya - IEEE Access, 2022 - ieeexplore.ieee.org
Phishing is a kind of worldwide spread cybercrime that uses disguised websites to trick
users into downloading malware or providing personally sensitive information to attackers …

Improving the phishing website detection using empirical analysis of Function Tree and its variants

AO Balogun, KS Adewole, MO Raheem, ON Akande… - Heliyon, 2021 - cell.com
The phishing attack is one of the most complex threats that have put internet users and
legitimate web resource owners at risk. The recent rise in the number of phishing attacks has …

[PDF][PDF] Intelligent tree-based ensemble approaches for phishing website detection

YA Alsariera, AO Balogun, VE Adeyemo… - J. Eng. Sci …, 2022 - jestec.taylors.edu.my
The adverse effects of phishing attacks on unsuspecting victims are damaging and
nefarious. Stealing of information from unsuspecting users surges on the internet and …