Cyber threat intelligence-based malicious URL detection model using ensemble learning

M Alsaedi, FA Ghaleb, F Saeed, J Ahmad, M Alasli - Sensors, 2022 - mdpi.com
Web applications have become ubiquitous for many business sectors due to their platform
independence and low operation cost. Billions of users are visiting these applications to …

Developing a framework for detecting phishing URLs using machine learning

NT Lam - International Journal of Computer Science & Network …, 2023 - koreascience.kr
The attack technique targeting end-users through phishing URLs is very dangerous
nowadays. With this technique, attackers could steal user data or take control of the system …

Qsecr: Secure qr code scanner according to a novel malicious url detection framework

AS Rafsanjani, NB Kamaruddin, HM Rusli… - IEEE …, 2023 - ieeexplore.ieee.org
Malicious Uniform Resource Locators (URLs) are the major issue posed by cybersecurity
threats. Cyberattackers spread malicious URLs to carry out attacks such as phishing and …

BERT-Based Approaches to Identifying Malicious URLs

MY Su, KL Su - Sensors, 2023 - mdpi.com
Malicious uniform resource locators (URLs) are prevalent in cyberattacks, particularly in
phishing attempts aimed at stealing sensitive information or distributing malware. Therefore …

A unified learning approach for malicious domain name detection

AA Wagan, Q Li, Z Zaland, S Marjan, DK Bozdar… - Axioms, 2023 - mdpi.com
The DNS firewall plays an important role in network security. It is based on a list of known
malicious domain names, and, based on these lists, the firewall blocks communication with …

Cascaded capsule twin attentional dilated convolutional network for malicious URL detection

VK Chauhan, A Kumar - Expert Systems with Applications, 2025 - Elsevier
Malware is one of the most popular cyber-attacks, and it is becoming more common on the
network every day. In contrast to benign transmission, which typically exhibits symmetrical …

Enhancing Malicious URL Detection: A Novel Framework Leveraging Priority Coefficient and Feature Evaluation

AS Rafsanjani, NB Kamaruddin, M Behjati… - IEEE …, 2024 - ieeexplore.ieee.org
Malicious Uniform Resource Locators (URLs) pose a significant cybersecurity threat by
carrying out attacks such as phishing and malware propagation. Conventional malicious …

Multi-Modal Features Representation-Based Convolutional Neural Network Model for Malicious Website Detection

M Alsaedi, FA Ghaleb, F Saeed, J Ahmad… - IEEE Access, 2023 - ieeexplore.ieee.org
Web applications have proliferated across various business sectors, serving as essential
tools for billions of users in their daily lives activities. However, many of these applications …

[PDF][PDF] Malicious url classification using artificial fish swarm optimization and deep learning

M Hilal, AHA Hashim, HG Mohamed… - … , Materials & Continua, 2023 - irep.iium.edu.my
Cybersecurity-related solutions have become familiar since it ensures security and privacy
against cyberattacks in this digital era. Malicious Uniform Resource Locators (URLs) can be …

Novel Security Metrics for Identifying Risky Unified Resource Locators (URLs)

M Deypir, T Zoughi - Iranian Journal of Science and Technology …, 2024 - Springer
Attackers perform malicious activities by sending URL s to victims via e-mail, SMS, social
network messages, and other means. Recently, intruders have been generating malicious …