Get started
Keyword

URL features

Description: Characteristics extracted from web addresses, such as their structure or components, used in website classification and security analysis.
OpenAlex ID: keywords/url-features
A framework for detection and measurement of phishing attacks
2007 · Sujata Garera, Niels Provos, et al. · 491
Detection of phishing websites using an efficient feature-based machine learning framework
2018 · Routhu Srinivasa Rao, Alwyn Roshan Pais · Neural Computing and Applications · 289
PhishStorm: Detecting Phishing With Streaming Analytics
2014 · Samuel Marchal, Jerome Francois, et al. · IEEE Transactions on Network and Service Management · 269
PDF
Fast webpage classification using URL features
2005 · Min-Yen Kan, Hoang Oanh Nguyen Thi · ACM International Conference on Information and Knowledge Management (CIKM) · 229
A stacking model using URL and HTML features for phishing webpage detection
2018 · Yukun Li, Zhenguo Yang, et al. · Future Generation Computer Systems · 222
Towards detection of phishing websites on client-side using machine learning based approach
2017 · Ankit Kumar Jain, B. B. Gupta · Telecommunication Systems · 212
An assessment of features related to phishing websites using an automated technique
2012 · Rami Mustafa A. Mohammad, Fadi Thabtah, et al. · University of Huddersfield Repository (University of Huddersfield) · 201
PDF
Phishing Website Detection With Semantic Features Based on Machine Learning Classifiers
2022 · Ammar Almomani, Mohammad Alauthman, et al. · International Journal on Semantic Web and Information Systems · 160
PDF
An effective detection approach for phishing websites using URL and HTML features
2022 · Ali Aljofey, Qingshan Jiang, et al. · Scientific Reports · 153
PDF
Intelligent phishing url detection using association rule mining
2016 · S. Carolin Jeeva, Elijah Blessing Rajsingh · Human-centric Computing and Information Sciences · 149
Malicious URL Detection based on Machine Learning
2020 · Cho Do Xuan, Hoa Dinh, et al. · International Journal of Advanced Computer Science and Applications · 144
PDF
A novel lightweight URL phishing detection system using SVM and similarity index
2017 · Mouad Zouina, Benaceur Outtaj · Human-centric Computing and Information Sciences · 137
PDF
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
Modeling Hybrid Feature-Based Phishing Websites Detection Using Machine Learning Techniques
2022 · Sumitra Das Guptta, Khandaker Tayef Shahriar, et al. · Annals of Data Science · 128
PDF
Look before you leap: Detecting phishing web pages by exploiting raw URL and HTML characteristics
2023 · Chidimma Opara, Yingke Chen, et al. · Expert Systems with Applications · 126
PhiDMA – A phishing detection model with multi-filter approach
2017 · Gunikhan Sonowal, K.S. Kuppusamy · Journal of King Saud University - Computer and Information Sciences · 120
PDF
Multiple sets of features for automatic genre classification of web documents
2004 · Chul Su Lim, Kong Joo Lee, et al. · Information Processing & Management · 109
Detection of phishing URLs using machine learning techniques
2013 · Joby James, Sandhya L., et al. · International Conference on Control, Communication and Computing (ICCC) · 97
XSSClassifier: An Efficient XSS Attack Detection Approach Based on Machine Learning Classifier on SNSs
2017 · Shailendra Rathore, Pradip Kumar Sharma, et al. · Journal of Information Processing Systems · 92
A Deep Learning-Based Innovative Technique for Phishing Detection in Modern Security with Uniform Resource Locators
2023 · Eman Abdullah Aldakheel, Mohammed Zakariah, et al. · Sensors · 86
PDF
A novel approach for phishing detection using URL-based heuristic
2014 · Luong Anh Tuan Nguyen, Ba Lam To, et al. · International Conference on Computing, Management and Telecommunications · 83
Using urls and table layout for web classification tasks
2004 · L. K. Shih, D. R. Karger · International World Wide Web Conference (WWW) · 83
Phishing Websites Detection using Machine Learning
2019 · International Journal of Recent Technology and Engineering (IJRTE) · 79
PDF
Detection and Prevention of Phishing Websites Using Machine Learning Approach
2018 · Vaibhav Patil, Pritesh Thakkar, et al. · International Conference on Computing Communication Control and automation · 74
A domain-feature enhanced classification model for the detection of Chinese phishing e-Business websites
2014 · Dongsong Zhang, Zhijun Yan, et al. · Information & Management · 73
Works count: 687
Citation count: 7,746
Year
Topic
Type