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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. Social Engineering Attacks Detection Approach;2023 13th International Conference on Dependable Systems, Services and Technologies (DESSERT);2023-10-13

2. Paying attention to cyber-attacks: A multi-layer perceptron with self-attention mechanism;Computers & Security;2023-09

3. Analysis of the Performance Impact of Fine-Tuned Machine Learning Model for Phishing URL Detection;Electronics;2023-03-30

4. An interrogation of Android application-based privilege escalation attacks;ETLTC-ICETM2023 INTERNATIONAL CONFERENCE PROCEEDINGS: ICT Integration in Technical Education & Entertainment Technologies and Management;2023

5. A new method for the Detection of Anomalies in Streaming Data Malicious URL Segmentation and Classification using Machine Learning Techniques;2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS);2022-11-24
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