URL based Phishing Detection using Machine Learning
Author:
Affiliation:
1. Muslim University,Zakir Hussain College of Engineering & Technology, Aligarh,Department of Computer Engineering,Aligarh,India,202002
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10111836/10111935/10112184.pdf?arnumber=10112184
Reference30 articles.
1. A survey and classification of web phishing detection schemes
2. A keyword-based combination approach for detecting phishing webpages
3. A new hybrid ensemble feature selection framework for machine learning-based phishing detection system
4. A stacking model using URL and HTML features for phishing webpage detection
5. Datasets for phishing websites detection;vrban?i?;Data in Brief,2020
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1. A Filter-Based Feature Selection for Robust Phishing Attack Detection using XGBoost;International Journal of Advanced Research in Science, Communication and Technology;2024-08-17
2. Comparative Analysis using Machine Learning Techniques for Detecting and Mitigating Phishing;2023 Second International Conference On Smart Technologies For Smart Nation (SmartTechCon);2023-08-18
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