Phishing Website Detection using XGBoost and Catboost Classifiers
Author:
Affiliation:
1. College of Computer and Information Sciences, Majmaah University,Dept of Computer Science,Al Majmaah,Saudi Arabia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10087341/10087376/10087829.pdf?arnumber=10087829
Reference32 articles.
1. Intelligent web-phishing detection and protection scheme using integrated features of Images, frames and text
2. CatchPhish: detection of phishing websites by inspecting URLs
3. Web Phishing Detection Using a Deep Learning Framework
4. Ensemble-Based Logistic Model Trees for Website Phishing Detection
5. Machine Learning for Detecting Data Exfiltration
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1. Enhancing Cybersecurity: A Comprehensive Analysis of Machine Learning Techniques in Detecting and Preventing Phishing Attacks with a Focus on Xgboost Algorithm;2024 International Conference on Intelligent Systems for Cybersecurity (ISCS);2024-05-03
2. Detecting Fraudulent Pattern Through Key Stroke Dynamics Using Machine Learning Algorithm;2024 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC);2024-01-27
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