Feature Selections for Phishing URLs Detection Using Combination of Multiple Feature Selection Methods
Author:
Affiliation:
1. Dove Science Academy - Tulsa HS, USA
2. Computer Science, Oklahoma State University, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3587716.3587790
Reference16 articles.
1. Feature Selection for Improved Phishing Detection
2. Phishing Attacks: A Recent Comprehensive Study and a New Anatomy. Cardiff Metropolitan University;Alkhalil Zainab;Journal contribution. https://hdl.handle.net/10779/cardiffmet.,2021
3. Phishing Detection Based on Machine Learning and Feature Selection Methods
4. Towards Developing a Tool to Detect Phishing URLs: A Machine Learning Approach
5. Feature selection in machine learning: A new perspective
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