Combining long-term recurrent convolutional and graph convolutional networks to detect phishing sites using URL and HTML

S Ariyadasa, S Fernando, S Fernando - IEEE Access, 2022 - ieeexplore.ieee.org
Phishing, a well-known cyber-attack practice has gained significant research attention in the
cyber-security domain for the last two decades due to its dynamic attacking strategies …

[HTML][HTML] The applicability of a hybrid framework for automated phishing detection

RJ van Geest, G Cascavilla, J Hulstijn, N Zannone - Computers & Security, 2024 - Elsevier
Phishing attacks are a critical and escalating cybersecurity threat in the modern digital
landscape. As cybercriminals continually adapt their techniques, automated phishing …

PDHF: Effective phishing detection model combining optimal artificial and automatic deep features

E Zhu, K Cheng, Z Zhang, H Wang - Computers & Security, 2024 - Elsevier
Currently, the increasing number of high-volume phishing attacks is among the largest
threats to networking environments on a daily basis. During such a severe 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 …

Intelligent Web Spam Detection in the Consumer Internet of Things

R Wang, X Zhuang, X Zhu, AK Bashir… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The Consumer Internet of Things (CIoT) integrates the advantage of Internet of Things (IoT)
technologies to provide convenience in consumers' daily lives. With the rapid development …

[HTML][HTML] Enhanced Feature Selection Using Genetic Algorithm for Machine-Learning-Based Phishing URL Detection

E Kocyigit, M Korkmaz, OK Sahingoz, B Diri - Applied Sciences, 2024 - mdpi.com
In recent years, the importance of computer security has increased due to the rapid
advancement of digital technology, widespread Internet use, and increased sophistication of …

[PDF][PDF] Detecting Malicious Uniform Resource Locators Using an Applied Intelligence Framework.

SV Oprea, A Bâra - Computers, Materials & Continua, 2024 - researchgate.net
The potential of text analytics is revealed by Machine Learning (ML) and Natural Language
Processing (NLP) techniques. In this paper, we propose an NLP framework that is applied to …

Utilizing Ensemble Learning to enhance the detection of Malicious URLs in the Twitter dataset

R Arora, R Gupta, P Yadav - 2024 4th International Conference …, 2024 - ieeexplore.ieee.org
Due of Twitter's widespread appeal as a platform for sharing activities, entertainment, and
information, spammers have taken notice and are using it to propagate false information and …

State of the art: content-based and hybrid phishing detection

F Castano, E Fidalgo, E Alegre, D Chaves… - arXiv preprint arXiv …, 2021 - arxiv.org
Phishing attacks have evolved and increased over time and, for this reason, the task of
distinguishing between a legitimate site and a phishing site is more and more difficult …

Klasifikasi Deteksi Link Phising DANA Kaget Menggunakan Metode Support Vector Machine Berbasis Website

M Vebriani, W Yustanti - Journal of Informatics and Computer …, 2024 - ejournal.unesa.ac.id
Penelitian ini bertujuan untuk mengembangkan model klasifikasi deteksi Link phishing
DANA Kaget menggunakan metode Support Vector Machine (SVM) berbasis websitesite …