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 …

[HTML][HTML] 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 …

[HTML][HTML] 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 …

[PDF][PDF] Deep learning in phishing mitigation: a uniform resource locator-based predictive model

H Salah, H Zuhair - International Journal of Electrical and Computer …, 2023 - academia.edu
To mitigate the evolution of phish websites, various phishing prediction8 schemes are being
optimized eventually. However, the optimized methods produce gratuitous performance …

A deep learning mechanism to detect phishing URLs using the permutation importance method and SMOTE-Tomek link

R Zaimi, M Hafidi, M Lamia - The Journal of Supercomputing, 2024 - Springer
In contemporary times, the proliferation of phishing attacks presents a substantial and
growing challenge to cybersecurity. This fraudulent tactic is designed to deceive …

A Permutaion Importance Based feature selection method and Deep Learning Model to Detect Phishing Websites

R Zaimi, M Hafidi, L Mahnane - 2024 - researchsquare.com
Phishing attacks pose a significant and escalating threat to cybersecurity in recent times.
This deceptive scam aims to trick naive users, luring them into visiting harmful websites and …

Catching a Phish: Frontiers of deep learning-based anticipating detection engines

H Salah, H Zuhair - International Conference of Reliable Information and …, 2021 - Springer
In recent years, cyber-security gains high attention in the light of ethical hacking and social
engineering attacks like phishing that riskily overshadow the development of social …

Phishing Website Detection Using a Combined Model of ANN and LSTM

MS Farooq - arXiv preprint arXiv:2404.10780, 2024 - arxiv.org
In this digital era, our lives highly depend on the internet and worldwide technology. Wide
usage of technology and platforms of communication makes our lives better and easier. But …

Event-Driven Malicious URL Extractor

SWS Jonathan, RH Arunaasalam… - … on advancements in …, 2021 - ieeexplore.ieee.org
Cyber-attacks are attacks that are commonly carried out in order to obtain sensitive
information or disrupt internet-based services. Recent occurrences, both internationally and …

Hybrid Model Based Phishing Websites Detection Using Deep Learning Technique

R Sultana, MA Rahman, MI Khan - 2023 26th International …, 2023 - ieeexplore.ieee.org
Phishing is a type of cybercrime that poses a serious threat to online users. It involves the
use of deceptive techniques to extract private information, such as login credentials and …