Phishing Website Detection based on Supervised Machine Learning with Wrapper Features Selection
Author:
Publisher
The Science and Information Organization
Subject
General Computer Science
Link
http://thesai.org/Downloads/Volume8No9/Paper_10-Phishing_Website_Detection_based_on_Supervised_Machine_Learning.pdf
Cited by 26 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Stack Ensemble Model For Detection Of Phishing Website;2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG);2024-04-02
2. An Efficient Hybrid Feature Selection Technique Toward Prediction of Suspicious URLs in IoT Environment;IEEE Access;2024
3. A Scalable URL-Based Phishing Websites Detection System Using Machine Learning Techniques;Smart Innovation, Systems and Technologies;2024
4. Wrapper-Based Feature Selection for Detecting the Lexical Phishing Websites Using Ensemble Learning Algorithms;Malware Analysis and Intrusion Detection in Cyber-Physical Systems;2023-09-26
5. Intelligent feature selection model based on particle swarm optimization to detect phishing websites;Multimedia Tools and Applications;2023-04-24
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