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Survey on Malicious URL Detection Techniques

  • Published:2022-04-28 Issue: Volume: Page:
  • ISSN:
  • Container-title:2022 6th International Conference on Trends in Electronics and Informatics (ICOEI)
  • language:
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Author:

A Saleem Raja1,R Madhubala1,N Rajesh1,L Shaheetha2,N Arulkumar3

Affiliation:

1. University of Technology and Applied Sciences-Shinas,Information Technology Department,Shinas,Sultanate of Oman

2. Alpha Arts and Science College,Department of Computer Applications,Chennai

3. CHRIST (Deemed to be University),Department of Computer Science,Bangalore,India

Publisher

IEEE

Reference23 articles.

1. Malicious URL Detection based on Machine Learning;do;International Journal of Advanced Computer Science and Applications (IJACSA),2020

2. Lexical features based malicious URL detection using machine learning techniques;raja;Materials Today Proceedings,0

3. Malicious web content detection by machine learning

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1. Proactive Phishing Website URL Scanner;International Journal of Innovative Science and Research Technology (IJISRT);2024-06-07

2. Novel Security Metrics for Identifying Risky Unified Resource Locators (URLs);Iranian Journal of Science and Technology, Transactions of Electrical Engineering;2024-05-10

3. A comprehensive survey on social engineering-based attacks on social networks;International Journal of ADVANCED AND APPLIED SCIENCES;2024-04

4. An Analysis of Cross-Site-Scripting Attack with Accuracy using Support Vector Machine and Convolutional Neural Network;2024 International Conference on Trends in Quantum Computing and Emerging Business Technologies;2024-03-22

5. Enhancing Malicious URL Detection: A Novel Framework Leveraging Priority Coefficient and Feature Evaluation;IEEE Access;2024
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