Phishing URL classification using Extra-Tree and DNN
Author:
Affiliation:
1. ENSIAS Mohammed V University in Rabat,SSL Lab,Rabat,Morocco
2. Teluq University,Montreal,Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9800750/9800752/09800795.pdf?arnumber=9800795
Reference23 articles.
1. Detection of Phishing Websites using Machine Learning;deshpande;International Journal of Engineering Research & Technology (IJERT),2021
2. High Accuracy Phishing Detection Based on Convolutional Neural Networks
3. PhishHaven—An Efficient Real-Time AI Phishing URLs Detection System
4. Phishing Websites Features;mohammad,2015
5. Phishing web sites features classification based on extreme learning machine
Cited by 1 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. Analyzing of Classification and Feature Extraction Techniques: A Case as Phishing URLs;2024 IEEE 6th Symposium on Computers & Informatics (ISCI);2024-08-10
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