An Ensemble Method for Phishing Websites Detection Based on XGBoost
Author:
Affiliation:
1. Purdue University,Dept of Computer Science,West Lafayette,IN,US
2. Harvard University,School of Engineeering and Applied Science,Cambridge,MA,US
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9730106/9730125/09730579.pdf?arnumber=9730579
Reference10 articles.
1. Enhancing the precision of phishing classification accuracy using reduced feature set and boosting algorithm
2. Meta-Algorithms for Improving Classification Performance in the Web-phishing Detection Process
3. Bayesian Optimization and Gradient Boosting to Detect Phishing Websites
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4. ABCF: An Adaptive Balanced Multimodal Website Classification Framework;2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD);2024-05-08
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