Comparison of Machine Learning Models for Identifying Malicious URLs-Reference-Cited by-同舟云学术

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Comparison of Machine Learning Models for Identifying Malicious URLs

Published:2024-06-28 Issue: Volume:8 Page:1-5
ISSN:
Container-title:2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS)
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Author:

Karajgar Manasi Dnyanesh¹,Sawardekar Sonali²,Khamankar Seema³,Tiwari Nalini³,Patil Manjusha³,Borate Vishal Kisan⁴,Mali Yogesh Kisan⁵,Chaudhari Ashvini⁶

Affiliation:

1. D. Y Patil College of Engineering,Pune,India

2. Dr. D Y Patil Institute of Technology,Pune,India

3. ADYPUSoE,Pune,India

4. Dr D Y Patil College of Engineering & Innovation,Pune,India

5. G.H Raisoni Institute of Engineering and Management,Pune,India

6. NMIMS Center for Distance & Online Education,Pune,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10624684/10624740/10625423.pdf?arnumber=10625423

Reference27 articles.

1. Detecting malicious URLs using binary classification through adaboost algorithm

2. Phishing URL detection using machine learning methods

3. Machine learning based phishing detection from URLs

4. Skin Impedance Technique to Detect Hand-Glove Rupture

5. Detection of Malicious URLs through an Ensemble of Machine Learning Techniques

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