Machine Learning Algorithms Evaluation for Phishing URLs Classification-Reference-Cited by-同舟云学术

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Machine Learning Algorithms Evaluation for Phishing URLs Classification

Published:2021-12-06 Issue: Volume: Page:
ISSN:
Container-title:2021 4th International Symposium on Advanced Electrical and Communication Technologies (ISAECT)
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Author:

BOUIJIJ Habiba,BERQIA Amine

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9668310/9668333/09668489.pdf?arnumber=9668489

Reference15 articles.

1. Artificial Intelligence Techniques for Phishing Detection;arivukarasi;International Journal of Innovative Technology and Exploring Engineering (IJITEE),2019

2. A Framework for Detecting Phishing Websites using GA based Feature Selection and ARTMAP based Website Classification;bhardwaj;Procedia Comput Sci,0

3. AI Meta-Learners and Extra-Trees Algorithm for the Detection of Phishing Websites

Cited by 4 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. Classification of Phishing Webpages using Supervised Machine Learning Algorithms;2024 15th Annual Undergraduate Research Conference on Applied Computing (URC);2024-04-24

2. IntelliTweet: A Multifaceted Feature Approach to Detect Malicious Tweets;Lecture Notes in Computer Science;2024

3. PhishRescue: A Stacked Ensemble Model to Identify Phishing Website Using Lexical Features;2022 5th International Conference of Computer and Informatics Engineering (IC2IE);2022-09-13

4. Phishing URL classification using Extra-Tree and DNN;2022 10th International Symposium on Digital Forensics and Security (ISDFS);2022-06-06

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