Search Results - "Uniform Resource Locators"

NetPhish-Mix: A Multi-Modal Phishing Detection Method Utilizing URL Graphs and Page Screenshot Vision Transformer.

Authors: Mohammad, Awwab Praveen, N. S., Pandiarajan et al.

Source: Engineering, Technology & Applied Science Research; Feb2026, Vol. 16 Issue 1, p31209-31214, 6p

Improving Web Security through Machine Learning: A Feature-Based Methodology for Detecting Phishing URLs.

Authors: Alzubi, Reem Bishtawi, Tariq Kassem, Hassan

Source: Engineering, Technology & Applied Science Research; Oct2025, Vol. 15 Issue 5, p26845-26851, 7p

Parameter-Efficient Hybrid Architectures for Multimodal Phishing Detection: Insights from the MTLP Dataset.

Authors: Aksoy, Mehmet Pehlivanoglu, Meltem Kurt Yigit, Halil

Source: International Journal of Information Security Science. 2025, Vol. 14 Issue 4, p1-12. 12p.

Design of a Phishing Detection System Using URL-Based Hybrid Machine Learning.

Authors: Kumar, Y. Rokesh Shabbeer, S. K. Mulla Surekha, D. et al.

Source: Journal of Computational Analysis & Applications; 2025, Vol. 34 Issue 6, p151-161, 11p

Anomaly detection based capsnet for malicious Url detection system.

Authors: Alsowail, Rakan A.¹, ralsowail@ksu.edu.sa

Source: Wireless Networks (10220038); Jun2025, Vol. 31 Issue 5, p3785-3801, 17p

MoE-B2RNet: Mixture of experts-based bidirectional boosted recurrent network for phishing attack detection.

Authors: Vhatkar, Sangeeta Aalam, Zahir Asati, Ranjita Akash et al.

Source: Journal of Computer Virology & Hacking Techniques; 6/20/2026, Vol. 22 Issue 1, p1-30, 30p

Illegal Online Gambling Site Detection using Multiple Resource-Oriented Machine Learning.

Authors: Min, Moohong Lee, Donggi Augustine

Source: Journal of Gambling Studies. Dec2024, Vol. 40 Issue 4, p2237-2255. 19p.

An ensemble learning approach for detecting phishing URLs in encrypted TLS traffic.

Authors: Kondaiah, Cheemaladinne Pais, Alwyn Roshan Rao, Routhu Srinivasa

Source: Telecommunication Systems; Dec2024, Vol. 87 Issue 4, p1015-1031, 17p

A Comparative Analysis of Machine Learning Techniques for URL Phishing Detection.

Authors: Albishri, Adel Ataih Dessouky, Mohamed M.

Source: Engineering, Technology & Applied Science Research; Dec2024, Vol. 14 Issue 6, p18495-18501, 7p

Real-time phishing URL detection framework using knowledge distilled ELECTRA.

Authors: Jishnu, K. S. Arthi, B.

Source: Automatika: Journal for Control, Measurement, Electronics, Computing & Communications; Dec2024, Vol. 65 Issue 4, p1621-1639, 19p

Detecting Phishing URLs Based on a Deep Learning Approach to Prevent Cyber-Attacks.

Authors: Haq, Qazi Emad ul Faheem, Muhammad Hamza Ahmad, Iftikhar

Source: Applied Sciences (2076-3417); Nov2024, Vol. 14 Issue 22, p10086, 17p

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

Authors: Zaimi, Rania Hafidi, Mohamed Lamia, Mahnane

Source: Journal of Supercomputing. Aug2024, Vol. 80 Issue 12, p17159-17191. 33p.

Subjects: Deep learning, Uniform Resource Locators, Phishing, Feature selection, Machine learning, Permutations, Web-based user interfaces

Weighted transformer neural network for web attack detection using request URL.

Authors: Deshpande, Kirti V. Singh, Jaibir

Source: Multimedia Tools & Applications. May2024, Vol. 83 Issue 15, p43983-44007. 25p.

Subjects: Transformer models, Uniform Resource Locators, Deep learning, Web-based user interfaces, Mathematical optimization, Generative adversarial networks

Implementing Free Persistent Identifiers in a Scientific Journal Management System Alternatively to DOI.

Authors: Pérez Vera, Yasiel Fernández Del Carpio, Álvaro

Source: DESIDOC Journal of Library & Information Technology. Sep2024, Vol. 44 Issue 5, p277-283. 7p.

URL filtering using machine learning algorithms.

Authors: Aljahdalic, Asia Othman Banafee, Shoroq Aljohani, Thana

Source: Information Security Journal: A Global Perspective. 2024, Vol. 33 Issue 3, p193-203. 11p.

Enhanced Feature Selection Using Genetic Algorithm for Machine-Learning-Based Phishing URL Detection.

Authors: Kocyigit, Emre Korkmaz, Mehmet Sahingoz, Ozgur Koray et al.

Source: Applied Sciences (2076-3417); Jul2024, Vol. 14 Issue 14, p6081, 21p

Using Nominal Group Technique to develop COMBI Related Health Contents of a Mobile Application.

Authors: Abdul Halim, Ahmad Farid Nazmi Hod, Rozita Sharif, Khaironi Yatim et al.

Source: International Journal of Public Health Research. 2024, Vol. 14 Issue 2, p1925-1936. 12p.

Detecting Phishing Website using Machine Learning.

Authors: Lakshmishree Arpitha K.

Source: Grenze International Journal of Engineering & Technology (GIJET); Jun2024, Vol. 10 Issue 2,Part 5, p6580-6584, 5p

Guardian Shield: A Machine Learning Approach for Proactive Malicious URL Detection.

Authors: Singh, Anshika Chaudhary, Shagun Kaur, Prabhjot

Source: Grenze International Journal of Engineering & Technology (GIJET); Jun2024, Vol. 10 Issue 2,Part 4, p4118-4121, 4p

Cybersecurity Advancements: A Comprehensive Survey of Machine Learning-based Preprocessing Techniques for Enhanced Website Phishing Detection.

Authors: Kamble, Naresh Mishra, Nilamadhab

Source: Grenze International Journal of Engineering & Technology (GIJET); Jun2024, Vol. 10 Issue 2,Part 4, p3453-3461, 9p