An investigation into the performances of the Current state-of-the-art Naive Bayes, Non-Bayesian and Deep Learning Based Classifier for Phishing Detection: A …

T Ige, C Kiekintveld, A Piplai, A Waggler… - arXiv preprint arXiv …, 2024 - arxiv.org
Phishing is one of the most effective ways in which cybercriminals get sensitive details such
as credentials for online banking, digital wallets, state secrets, and many more from potential …

Unveiling suspicious phishing attacks: enhancing detection with an optimal feature vectorization algorithm and supervised machine learning

MA Tamal, MK Islam, T Bhuiyan, A Sattar… - Frontiers in Computer …, 2024 - frontiersin.org
Introduction The dynamic and sophisticated nature of phishing attacks, coupled with the
relatively weak anti-phishing tools, has made phishing detection a pressing challenge. In …

Dephides: Deep learning based phishing detection system

OK Sahingoz, E BUBE, E Kugu - IEEE Access, 2024 - ieeexplore.ieee.org
In today's digital landscape, the increasing prevalence of internet-connected devices,
including smartphones, personal computers, and IoT devices, has enabled users to perform …

A comprehensive survey of automated website phishing detection techniques: a perspective of artificial intelligence and human behaviors

C Rajeswary, M Thirumaran - 2023 International conference on …, 2023 - ieeexplore.ieee.org
Phishing is a web-based attack that applies social engineering techniques to take
advantage of Internet users and obtain sensitive information. Mostly, the phishing attack …

A hybrid phishing detection system using deep learning-based URL and content analysis

M Korkmaz, E Kocyigit, O Sahingoz… - Elektronika ir …, 2022 - avesis.yildiz.edu.tr
Phishing attacks are one of the most preferred types of attacks for cybercriminals, who can
easily contact a large number of victims through the use of social networks, particularly …

PDSMV3-DCRNN: A novel ensemble deep learning framework for enhancing phishing detection and URL extraction

YB Prasad, V Dondeti - Computers & Security, 2025 - Elsevier
Phishing is a cyber-attack that exploits victims' technical ignorance or naivety and commonly
involves a Uniform Resources Locator (URL). As a result, it is beneficial to examine URLs …

Deep Learning-Based Speech and Vision Synthesis to Improve Phishing Attack Detection through a Multi-layer Adaptive Framework

T Ige, C Kiekintveld, A Piplai - arXiv preprint arXiv:2402.17249, 2024 - arxiv.org
The ever-evolving ways attacker continues to im prove their phishing techniques to bypass
existing state-of-the-art phishing detection methods pose a mountain of challenges to …

[PDF][PDF] An Intelligent System for Detecting Fake Materials on the Internet

AS Noah, NE Ghannam, GA Elsharawy… - … Journal of Modern …, 2023 - scholar.archive.org
There has been a significant rise in internet usage in recent years, which has led to the
presence of data theft and the diversity of counterfeit materials. This has resulted the …

Review of the effectiveness of machine learning based phishing prevention systems

KS Jishnu, B Arthi - AIP Conference Proceedings, 2023 - pubs.aip.org
We depend on the internet for our daily activities and transactions because of its usability.
But as a result of the growth in internet usage, cyber crimes are also on the rise. Phishing is …

Research and Application of a Dual Filtering Music Hybrid Recommendation Model Based on Cat Boost Algorithm and DCN

J Hou - Scalable Computing: Practice and Experience, 2024 - scpe.org
With the increase of Internet users, the traditional music recommendation model can not
meet the increasing personalized needs of users. The single deep cross network model has …