Classification of Phishing Websites using Machine Learning Models-Reference-Cited by-同舟云学术

Classification of Phishing Websites using Machine Learning Models

Published:2023-03-18 Issue: Volume: Page:
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Container-title:2023 3rd International conference on Artificial Intelligence and Signal Processing (AISP)
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Author:

Raminedi Santhosh¹,Pandey Trilok Nath¹,Woonna Venkat Amith¹,Mascarenhas Sletzer Concy¹,Bharani Arjun¹

Affiliation:

1. Vellore Institute of Technology,Department of Computer Science,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10134757/10134565/10134944.pdf?arnumber=10134944

Reference28 articles.

1. Phishing URL Detection via CNN and Attention-Based Hierarchical RNN

2. Phishing websites detection based on hybrid model of deep belief network and support vector machine;xuqiao;IOP Conference Series: Earth and Environmental Science,2020

3. Malicious URL Detection using Logistic Regression

4. Ensemble-based logistic model trees for website phishing detection;adeyemo;In Advances in Cyber Se-curity Second International Conference ACeS,2020

5. DTOF-ANN: An Artificial Neural Network phishing detection model based on Decision Tree and Optimal Features

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1. An Investigation into the Performances of the State-of-the-art Machine Learning Approaches for Various Cyber-attack Detection: A Survey;2024 IEEE International Conference on Electro Information Technology (eIT);2024-05-30

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