Uniform Resource Locator

Uniform Resource Locators (URLs) are fundamental to internet navigation, but their inherent structure makes them vulnerable to malicious use in phishing, malware distribution, and other cyberattacks. Current research heavily focuses on developing machine learning models, particularly employing deep learning architectures like Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs, including LSTMs and Bi-LSTMs), and transformer-based models (like BERT), to automatically detect malicious URLs in real-time. These efforts aim to improve the accuracy and efficiency of URL-based threat detection, enhancing cybersecurity and protecting users from online threats.

Papers

September 13, 2024

DomURLs_BERT: Pre-trained BERT-based Model for Malicious Domains and URLs Detection and Classification
Abdelkader El Mahdaouy, Salima Lamsiyah, Meryem Janati Idrissi, Hamza Alami, Zakaria Yartaoui, Ismail Berrada
Classification Code Pre Trained BERT Code BERT Uniform Resource Locator Malicious Domain

July 11, 2024

Uncovering Semantics and Topics Utilized by Threat Actors to Deliver Malicious Attachments and URLs
Andrey Yakymovych, Abhishek Singh
Malicious Agent Significant Topic Threat Detection Semantic Cue Uniform Resource Locator Malicious Attachment

July 5, 2024

Hybrid Machine Learning Approach For Real-Time Malicious Url Detection Using Som-Rmo And Rbfn With Tabu Search Optimization
Swetha T, Seshaiah M, Hemalatha KL, ManjunathaKumar BH, Murthy SVN
Radial Basis Function Self Organizing Map Hybrid Machine Learning Attack Pattern Uniform Resource Locator Url Detection Tabu Search

April 27, 2024

PhishGuard: A Convolutional Neural Network Based Model for Detecting Phishing URLs with Explainability Analysis
Md Robiul Islam, Md Mahamodul Islam, Mst. Suraiya Afrin, Anika Antara, Nujhat Tabassum, Al Amin
Deep Learning Cybersecurity Perspective Explanation Model Uniform Resource Locator 1D Convolutional URL Classification

April 15, 2024

The Performance of Sequential Deep Learning Models in Detecting Phishing Websites Using Contextual Features of URLs
Saroj Gopali, Akbar S. Namin, Faranak Abri, Keith S. Jones
Deep Learning Model System Performance LSTM Network Temporal Convolutional Network Bi LSTM Context Feature Uniform Resource Locator Sequential Deep

February 6, 2024

COPS: A Compact On-device Pipeline for real-time Smishing detection
Harichandana B S S, Sumit Kumar, Manjunath Bhimappa Ujjinakoppa, Barath Raj Kandur Raja
Mobile Device Real Time Detection Orienteering Problem Uniform Resource Locator Url Detection

September 10, 2023

Classification of Spam URLs Using Machine Learning Approaches
Omar Husni Odeh, Anas Arram, Murad Njoum
Machine Learning Model Classification Code Random Forest Spam Detection Uniform Resource Locator Image Spam URL Classification

February 25, 2023

MetaAID 2.0: An Extensible Framework for Developing Metaverse Applications via Human-controllable Pre-trained Models
Hongyin Zhu
Multimodal Data Content Generation Model Generated Extensible Framework Metaverse Application Uniform Resource Locator

August 28, 2022

Adapting the LodView RDF Browser for Navigation over the Multilingual Linguistic Linked Open Data Cloud
Alexander Kirillovich, Konstantin Nikolaev
Local Navigation RDF Schema Knowledge Graph Representation Uniform Resource Locator

April 27, 2022

An Adversarial Attack Analysis on Malicious Advertisement URL Detection Framework
Ehsan Nowroozi, Abhishek, Mohammadreza Mohammadi, Mauro Conti
Adversarial Attack Uniform Resource Locator Url Detection URL Classification

February 25, 2022

Multi-Layer Perceptron Neural Network for Improving Detection Performance of Malicious Phishing URLs Without Affecting Other Attack Types Classification
Pow Chang
Neural Network Multi Layer Improved Detection Multinomial Logistic Classical Machine Learning Uniform Resource Locator

December 4, 2021

PhishMatch: A Layered Approach for Effective Detection of Phishing URLs
Harshal Tupsamudre, Sparsh Jain, Sachin Lodha
Efficient Detection Anti Phishing Zero Day Layered Approach Phishing Attack Uniform Resource Locator

Uniform Resource Locator

Papers

DomURLs_BERT: Pre-trained BERT-based Model for Malicious Domains and URLs Detection and Classification

Uncovering Semantics and Topics Utilized by Threat Actors to Deliver Malicious Attachments and URLs

Hybrid Machine Learning Approach For Real-Time Malicious Url Detection Using Som-Rmo And Rbfn With Tabu Search Optimization

PhishGuard: A Convolutional Neural Network Based Model for Detecting Phishing URLs with Explainability Analysis

The Performance of Sequential Deep Learning Models in Detecting Phishing Websites Using Contextual Features of URLs

COPS: A Compact On-device Pipeline for real-time Smishing detection

Classification of Spam URLs Using Machine Learning Approaches

MetaAID 2.0: An Extensible Framework for Developing Metaverse Applications via Human-controllable Pre-trained Models

Adapting the LodView RDF Browser for Navigation over the Multilingual Linguistic Linked Open Data Cloud

An Adversarial Attack Analysis on Malicious Advertisement URL Detection Framework

Multi-Layer Perceptron Neural Network for Improving Detection Performance of Malicious Phishing URLs Without Affecting Other Attack Types Classification

PhishMatch: A Layered Approach for Effective Detection of Phishing URLs