A Review on Malicious URLs Detection Using Machine Learning Methods

T Tabassum, MM Alam, MS Ejaz… - Journal of …, 2023 - archive.article4submit.com
Malicious URLs are a serious threat to cybersecurity because they can compromise user
security and inflict large financial losses. The extensiveness and adaptability of traditional …

MALICIOUS WEB LINKS DETECTION-A COMPARATIVE ANALYSIS OF MACHINE LEARNING ALGORITHMS

CI COSTE - Studia Universitatis Babeș-Bolyai Informatica, 2023 - 193.231.18.162
One of the most challenging categories of threats circulating in the online world is social
engineering, with malicious web links, fake news, clickbait, and other tactics. Malware URLs …

Identification and Classification of Malicious and Benign URL using Machine Learning Classifiers

D Kundra - 2023 7th International Conference on I-SMAC (IoT …, 2023 - ieeexplore.ieee.org
In a world where digitalization is constantly advancing and developing, cybersecurity and
cyberwarfare are essential. Malware has grown to be a serious menace to internet users in …

RoBERTa for URL Classification: Enhancing Web Security and Content Filtering

J Ilievska, HM Trpcheska, J Dobreva… - 2023 31st …, 2023 - ieeexplore.ieee.org
The rising occurrence of malicious URLs on the internet is a major concern for users and
their devices. To combat this problem, there is a need to develop effective methods to protect …

[PDF][PDF] Malicious Web Links Detection Using Ensemble Models

CI Coste, AM Andreica, C Chira - 2023 - scitepress.org
Malicious links are becoming the main propagating vector for web-malware. They may lead
to serious security issues, such as phishing, distribution of fake news and low-quality …

Meta Learning for Enhanced Web Security Against Malicious URLs

SSK Singh, V Menon, SA Sajidha, VM Nisha… - 2023 - researchsquare.com
The identification of malicious Uniform Resource Locators (URLs) plays a pivotal role in
strengthening network and cyber security. Over the years, the Internet has increasingly …