Get started
Keyword

URL classification

Description: The task of assigning web addresses to categories based on their content, structure, or intended function, often for search or filtering.
OpenAlex ID: keywords/url-classification
Machine learning based phishing detection from URLs
2018 · Ozgur Koray Sahingoz, Ebubekir Buber, et al. · Expert Systems with Applications · 861
Beyond blacklists
2009 · Justin Ma, Lawrence K. Saul, et al. · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 806
A framework for detection and measurement of phishing attacks
2007 · Sujata Garera, Niels Provos, et al. · 491
Detecting Internet of Things attacks using distributed deep learning
2020 · Gonzalo De La Torre Parra, Paul Rad, et al. · Journal of Network and Computer Applications · 328
Large-Scale Automatic Classification of Phishing Pages
2010 · Colin Whittaker, Brian Ryner, et al. · 320
Phishing Website Detection Based on Multidimensional Features Driven by Deep Learning
2019 · Peng Yang, Guangzhen Zhao, et al. · IEEE Access · 309
PDF
Phishing Detection System Through Hybrid Machine Learning Based on URL
2023 · Abdul Karim, Mobeen Shahroz, et al. · IEEE Access · 253
PDF
Classifying phishing URLs using recurrent neural networks
2017 · Alejandro Correa Bahnsen, Eduardo Contreras Bohorquez, et al. · APWG Symposium on Electronic Crime Research (eCrime) · 244
PhishDef: URL names say it all
2011 · Anh Le, Athina Markopoulou, et al. · IEEE Conference on Computer Communications (INFOCOM) · 204
PDF
An Effective Phishing Detection Model Based on Character Level Convolutional Neural Network from URL
2020 · Ali Aljofey, Qingshan Jiang, et al. · Electronics · 198
PDF
Improving malicious URLs detection via feature engineering: Linear and nonlinear space transformation methods
2020 · Tie Li, Gang Kou, et al. · Information Systems · 166
PDF
CatchPhish: detection of phishing websites by inspecting URLs
2019 · Routhu Srinivasa Rao, Tatti Vaishnavi, et al. · Journal of Ambient Intelligence and Humanized Computing · 159
Applications of deep learning for phishing detection: a systematic literature review
2022 · Cagatay Catal, Görkem Giray, et al. · Knowledge and Information Systems · 155
PDF
A hybrid DNN–LSTM model for detecting phishing URLs
2021 · Alper Ozcan, Cagatay Catal, et al. · Neural Computing and Applications · 152
PDF
Intelligent phishing url detection using association rule mining
2016 · S. Carolin Jeeva, Elijah Blessing Rajsingh · Human-centric Computing and Information Sciences · 149
Phishing Website Detection: An Improved Accuracy through Feature Selection and Ensemble Learning
2019 · Alyssa Anne Ubing, Syukrina Kamilia, et al. · International Journal of Advanced Computer Science and Applications · 139
PDF
CNN–MHSA: A Convolutional Neural Network and multi-head self-attention combined approach for detecting phishing websites
2020 · Xi Xiao, Dianyan Zhang, et al. · Neural Networks · 132
PHISH-SAFE: URL Features-Based Phishing Detection System Using Machine Learning
2018 · Ankit Kumar Jain, B. B. Gupta · Advances in intelligent systems and computing · 131
Inside a phisher's mind: Understanding the anti-phishing ecosystem through phishing kit analysis
2018 · Adam Oest, Yeganeh Safei, et al. · APWG Symposium on Electronic Crime Research (eCrime) · 118
DEPHIDES: Deep Learning Based Phishing Detection System
2024 · Ozgur Koray Sahingoz, Ebubekir BUBEr, et al. · IEEE Access · 117
PDF
Detecting phishing websites using machine learning technique
2021 · Ashit Kumar Dutta · PLoS ONE · 117
PDF
Evaluating deep learning approaches to characterize and classify malicious URL’s
2018 · R. Vinayakumar, K.P. Soman, et al. · Journal of Intelligent & Fuzzy Systems · 116
Detecting Malicious URLs via a Keyword-Based Convolutional Gated-Recurrent-Unit Neural Network
2019 · Wenchuan Yang, Wen Zuo, et al. · IEEE Access · 111
PDF
Detecting Phishing Domains Using Machine Learning
2023 · Shouq Alnemari, Majid Alshammari · Applied Sciences · 107
PDF
High Accuracy Phishing Detection Based on Convolutional Neural Networks
2020 · Suleiman Y. Yerima, Mohammed K. Alzaylaee · International Conference on Computer Applications & Information Security (ICCAIS) · 106
PDF
Works count: 1,913
Citation count: 17,100
Year
Topic
Type